library(here)
library(Hmisc)
library(dplyr)
library(DataExplorer)
library(ggplot2)
library(lattice)
library(inspectdf)
library(kableExtra)
library(explore)
library(DT)
library(dplyr)
library(Boruta)
library(corrr)
library(tidyverse)
library(caret)
library(randomForest)
library(funModeling)
library(gmodels)
library(data.table)
library(DMwR)

Executive summary

Challenges

describe the problem
describe the dataset
response variable

Analysis

classification model tested
which ones are more adapted to the problem

Results

show results, accuracies
recommendations and implementations

General

purpose of the course
the benefit of Machine Learning in general

Source of data

where the data comes from
quick description of the data

Case description

describe the problem
benefit of Machine Learning in this special case

Data processing

explain the purpose of data cleaning
why it is so important in data analytics

Loading data

bands <- read.csv2(file = here('bands3.csv'), sep = ';',na.strings = "?")

Data visualization

The first task to analyze a dataset is to have a look at all the variables and their values.

## 'data.frame':    540 obs. of  40 variables:
##  $ date             : int  19910108 19910109 19910104 19910104 19910111 19910104 19910111 19910111 19910112 19910114 ...
##  $ cylinder_no      : Factor w/ 434 levels "1351","3","aa067",..: 297 338 22 249 176 255 332 401 202 153 ...
##  $ customer         : Factor w/ 83 levels "ABBEY","ABBEYPRESS",..: 75 75 61 58 55 58 67 67 61 18 ...
##  $ job_number       : int  25503 25503 47201 39039 37351 38039 35751 35751 47201 37000 ...
##  $ grain_screened   : Factor w/ 2 levels "NO","YES": 2 2 2 2 1 2 1 1 2 2 ...
##  $ ink_color        : Factor w/ 3 levels "key","KeY","KEY": 3 3 3 3 3 3 3 3 3 3 ...
##  $ proof_ink        : Factor w/ 2 levels "NO","YES": 2 2 2 2 2 2 2 2 2 2 ...
##  $ blade_mfg        : Factor w/ 2 levels "BENTON","UDDEHOLM": 1 1 1 1 1 1 1 1 1 1 ...
##  $ cylinder_division: Factor w/ 2 levels "gallatin","GALLATIN": 2 2 2 2 2 2 2 2 2 2 ...
##  $ paper_type       : Factor w/ 5 levels "coated","COATED",..: 5 5 5 5 5 5 2 2 5 5 ...
##  $ ink_type         : Factor w/ 6 levels "coated","COATED",..: 6 6 2 6 2 6 2 2 6 6 ...
##  $ direct_steam     : Factor w/ 3 levels "no","NO","YES": 2 2 2 2 2 2 2 2 2 2 ...
##  $ solvent_type     : Factor w/ 3 levels "LINE","NAPTHA",..: 1 1 1 1 1 1 1 1 3 1 ...
##  $ cylinder_type    : Factor w/ 4 levels "no","NO","yes",..: 4 4 4 4 4 4 4 4 4 4 ...
##  $ press_type       : Factor w/ 4 levels "Albert70","Motter70",..: 3 3 4 4 4 4 3 3 1 4 ...
##  $ press            : int  821 821 815 816 816 816 827 827 802 815 ...
##  $ unit_number      : int  2 2 9 9 2 2 2 9 7 2 ...
##  $ cylinder_size    : Factor w/ 6 levels "catalog","CATALOG",..: 6 6 2 2 6 2 6 6 2 2 ...
##  $ location         : Factor w/ 6 levels "CANAdiAN","CANADIAN",..: 4 4 4 4 NA 4 2 1 4 4 ...
##  $ plating_tank     : int  1911 NA NA 1910 1910 1910 1911 1911 1910 1911 ...
##  $ proof_cut        : Factor w/ 27 levels "25","27.5","30",..: 18 18 22 16 15 15 15 15 15 24 ...
##  $ viscosity        : int  46 46 40 40 46 40 46 46 45 43 ...
##  $ caliper          : Factor w/ 20 levels ".200","0.133",..: 4 11 17 11 11 9 11 4 15 13 ...
##  $ ink_temperature  : Factor w/ 66 levels "11.2","12","12.5",..: 55 29 42 42 55 54 50 50 2 42 ...
##  $ humidity         : int  78 80 80 75 80 76 75 75 70 75 ...
##  $ roughness        : Factor w/ 22 levels ".625","0.05625",..: 12 12 NA 5 12 7 12 12 12 19 ...
##  $ blade_pressure   : int  20 20 30 30 30 28 30 28 60 32 ...
##  $ varnish_pct      : Factor w/ 124 levels "0","0.5","1",..: 27 99 98 92 1 114 1 1 1 72 ...
##  $ press_speed      : int  1700 1900 1850 1467 2100 1467 2600 2600 1650 1750 ...
##  $ ink_pct          : Factor w/ 81 levels "41","41.3","41.7",..: 26 42 38 45 52 38 71 71 65 12 ...
##  $ solvent_pct      : Factor w/ 116 levels "22","22.5","23.1",..: 43 62 74 64 96 54 53 53 74 10 ...
##  $ ESA_voltage      : Factor w/ 17 levels "0","0.5","0.75",..: 1 1 1 1 14 14 15 15 5 1 ...
##  $ ESA_amperage     : Factor w/ 4 levels "0","0.5","4",..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ wax              : Factor w/ 32 levels "0","0.5","0.7",..: 23 23 27 23 21 23 23 23 30 30 ...
##  $ hardener         : Factor w/ 32 levels ".8","0","0.2",..: 14 9 13 19 7 11 7 16 14 14 ...
##  $ roller_durometer : Factor w/ 12 levels "28","30","32",..: 5 5 9 9 6 9 2 2 9 7 ...
##  $ current_density  : int  40 40 40 40 40 40 40 40 40 40 ...
##  $ anode_space_ratio: Factor w/ 81 levels "100","100.0",..: 21 21 20 41 34 20 34 34 15 33 ...
##  $ chrome_content   : int  100 100 100 100 100 100 100 100 100 100 ...
##  $ band_type        : Factor w/ 2 levels "band","noband": 1 2 2 2 2 2 2 2 1 2 ...

We notice that there are some numerical and nominal attributes. To be precise, 20 numerical variables and 19 nominal variables, including the response variable, band_type. There are some nominal variables with a high number of levels, which means that they will not be really useful for a potential classification task; we will see further what to do with these ones. On the other hand, variables with only one level will be deleted, because they don’t bring any information for the classification. We notice also that the dataset is not standardized, which means that the value are not recorded the same way depending on the observations; it appears that sometimes, the values are in lower cases and sometimes in upper cases, so we have to standardize it to get real insights from the data. Important informations comes from the missing values, which are numerous. We will discuss also further what to do with these ones.

As we were aware, this dataset needs a lot of cleaning before to be analyzed.

Standardization of the dataset

As seen before, the data are not recorded in the same way for all the observations. Some observations are in upper cases and some are in lower cases. This can occur when many different people are in charge to record the data or depending the location where the observations comes from. This problem can lead to a bad data perception, so we decided to put all the values in upper cases.

Here is an overview of the dataset:

date	cylinder_no	customer	job_number	grain_screened	ink_color	proof_ink	blade_mfg	cylinder_division	paper_type	ink_type	direct_steam	solvent_type	cylinder_type	press_type	press	unit_number	cylinder_size	location	plating_tank	proof_cut	viscosity	caliper	ink_temperature	humidity	roughness	blade_pressure	varnish_pct	press_speed	ink_pct	solvent_pct	ESA_voltage	ESA_amperage	wax	hardener	roller_durometer	current_density	anode_space_ratio	chrome_content	band_type
19910108	X126	TVGUIDE	25503	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	1911	55.0	46	0.200	17.00	78	0.75000	20	13.10	1700	50.50	36.40	0.00	0.0	2.50	1.00	34.0	40	105.000	100	BAND
19910109	X266	TVGUIDE	25503	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	NA	55.0	46	0.300	15.00	80	0.75000	20	6.60	1900	54.90	38.50	0.00	0.0	2.50	0.70	34.0	40	105.000	100	NOBAND
19910104	B7	MODMAT	47201	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	NORTHUS	NA	62.0	40	0.433	16.00	80	NA	30	6.50	1850	53.80	39.80	0.00	0.0	2.80	0.90	40.0	40	103.870	100	NOBAND
19910104	T133	MASSEY	39039	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	CATALOG	NORTHUS	1910	52.0	40	0.300	16.00	75	0.31250	30	5.60	1467	55.60	38.80	0.00	0.0	2.50	1.30	40.0	40	108.060	100	NOBAND
19910111	J34	KMART	37351	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1910	50.0	46	0.300	17.00	80	0.75000	30	0.00	2100	57.50	42.50	5.00	0.0	2.30	0.60	35.0	40	106.670	100	NOBAND
19910104	T218	MASSEY	38039	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NORTHUS	1910	50.0	40	0.267	16.80	76	0.43750	28	8.60	1467	53.80	37.60	5.00	0.0	2.50	0.80	40.0	40	103.870	100	NOBAND
19910111	X249	ROSES	35751	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1911	50.0	46	0.300	16.50	75	0.75000	30	0.00	2600	62.50	37.50	6.00	0.0	2.50	0.60	30.0	40	106.670	100	NOBAND
19910111	X788	ROSES	35751	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1911	50.0	46	0.200	16.50	75	0.75000	28	0.00	2600	62.50	37.50	6.00	0.0	2.50	1.10	30.0	40	106.670	100	NOBAND
19910112	M372	MODMAT	47201	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	ALBERT70	802	7	CATALOG	NORTHUS	1910	50.0	45	0.367	12.00	70	0.75000	60	0.00	1650	60.20	39.80	1.50	0.0	3.00	1.00	40.0	40	103.220	100	BAND
19910114	I320	CHILDCRAFT	37000	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1911	65.0	43	0.333	16.00	75	1.00000	32	22.70	1750	45.50	31.80	0.00	0.0	3.00	1.00	38.0	40	106.660	100	NOBAND
19910114	I337	CHILDCRAFT	37000	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	NORTHUS	1910	65.0	43	0.200	16.00	68	0.75000	30	15.50	1750	48.50	35.90	0.00	0.0	3.00	1.00	38.0	40	106.600	100	NOBAND
19910111	X352	HANOVRHOUSE	35539	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	1911	50.0	50	0.367	14.00	80	0.75000	40	10.50	1700	52.60	36.80	0.00	0.0	2.50	1.00	38.0	40	105.000	100	BAND
19910117	X67	HANOVRHOUS	35539	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1911	50.0	50	0.300	15.00	70	1.00000	30	10.00	1600	50.00	40.00	0.00	0.0	2.80	1.00	38.0	40	106.660	100	BAND
19910125	X817	GUIDEPOSTS	23052	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1911	40.0	45	0.300	14.50	70	0.62500	25	0.00	1500	59.50	40.50	0.00	0.0	2.00	1.00	40.0	40	100.000	100	BAND
19910117	X273	HANOVRHOUS	35539	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	1911	50.0	43	0.267	16.00	75	1.00000	20	15.80	1600	49.50	34.70	0.00	0.0	2.50	1.00	38.0	40	103.220	100	NOBAND
19910103	F108	MODMAT	47201	NA	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER70	813	9	CATALOG	NORTHUS	1911	NA	45	0.233	15.00	87	1.00000	NA	0.00	1400	62.50	37.50	0.00	0.0	2.50	1.00	40.0	40	103.220	100	BAND
19910129	F237	HOMESHOP	38064	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER70	813	5	CATALOG	CANADIAN	1911	30.0	45	0.200	14.00	65	NA	NA	0.00	1600	62.50	37.50	0.00	0.0	2.50	0.80	33.0	40	100.000	100	NOBAND
19910129	F267	HOMESHOP	38064	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER70	813	1	CATALOG	CANADIAN	1911	30.0	45	0.200	15.50	65	NA	NA	5.90	1600	58.80	35.30	0.00	0.0	2.50	1.80	33.0	40	100.000	100	NOBAND
19910123	S21	USCAV	35521	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	CANADIAN	1910	60.0	38	0.267	16.40	64	0.75000	NA	11.00	1400	54.90	34.10	0.00	0.0	2.50	1.00	32.0	40	103.220	100	NOBAND
19910123	F492	USCAV	35521	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	CANADIAN	1911	60.0	38	0.333	16.50	66	0.75000	NA	6.70	1400	56.20	37.10	0.00	0.0	1.10	1.40	32.0	40	103.220	100	NOBAND
19910130	X799	COLORTIL	37571	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	NAPTHA	NO	MOTTER94	824	2	TABLOID	CANADIAN	1911	50.0	45	0.233	16.00	70	0.81250	30	0.00	2400	58.80	41.20	0.00	0.0	1.70	1.00	30.0	40	107.400	100	NOBAND
19910130	X823	COLORTIL	35751	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	NAPTHA	YES	MOTTER94	824	9	TABLOID	CANADIAN	1911	40.0	45	0.200	15.00	76	0.81250	30	0.00	2400	62.50	37.50	0.00	0.0	1.00	1.00	30.0	40	107.400	100	NOBAND
19910117	X163	WARDS	37340	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1911	30.0	43	0.200	16.30	70	0.81250	25	1.20	2200	58.10	40.70	4.00	0.0	2.00	1.00	30.0	40	96.875	100	NOBAND
19910127	O4	TARGET	35816	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	SPIEGEL	CANADIAN	1911	40.0	41	0.200	15.80	72	1.00000	30	0.00	2000	62.50	37.50	0.00	0.0	2.50	1.00	30.0	40	107.400	100	BAND
19910131	E84	KMART	37352	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	SCANDANAVIAN	1911	40.0	42	0.200	14.50	74	1.00000	25	8.00	2100	57.50	34.50	0.00	0.0	2.30	0.70	35.0	40	107.400	100	BAND
19910201	E81	KMART	37352	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	SCANDANAVIAN	1911	45.0	42	0.200	14.00	70	1.00000	20	8.00	1850	57.50	34.50	0.00	0.0	2.00	0.70	35.0	40	107.400	100	BAND
19910130	E72	KMART	37352	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	SCANDANAVIAN	1911	50.0	45	0.300	15.00	76	1.00000	30	8.00	2150	57.50	34.50	0.00	0.0	2.50	1.00	35.0	40	107.400	100	NOBAND
19910130	E310	KMART	37352	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	SCANDANAVIAN	1911	50.0	45	0.300	15.20	72	1.00000	25	5.90	2150	58.80	35.30	0.00	0.0	2.50	1.00	35.0	40	107.400	100	NOBAND
19910201	X29	WOOLWORTH	37080	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	CANADIAN	1911	35.0	42	NA	15.00	75	0.75000	30	0.00	2100	58.80	41.20	0.00	0.0	2.00	0.80	30.0	40	107.400	100	BAND
19910118	X292	AMES	37157	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	CANADIAN	1910	30.0	45	0.233	17.00	70	0.75000	35	0.00	2200	58.80	41.20	0.00	0.0	2.50	1.00	33.0	40	106.450	100	BAND
19910206	J9	KMART	37352	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	NORTHUS	1911	37.5	44	0.200	16.00	90	0.75000	28	20.00	2050	45.00	35.00	0.00	0.0	2.40	0.80	35.0	40	107.400	100	NOBAND
19910206	J582	KMART	37352	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	NORTHUS	1911	37.5	44	0.200	16.50	91	0.75000	30	21.70	2050	43.50	34.80	0.00	0.0	2.70	0.80	35.0	40	107.400	100	NOBAND
19910206	X141	TVGUIDE	25507	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1911	45.0	44	0.267	14.10	78	0.62500	22	7.60	1510	54.30	38.00	0.00	0.0	2.50	0.70	34.0	40	114.280	100	NOBAND
19910206	X818	TVGUIDE	25507	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1910	40.0	44	0.200	14.00	69	0.62500	20	8.50	1510	53.20	38.30	2.00	0.0	2.50	0.90	34.0	40	110.000	100	NOBAND
19910208	V376	WOOLWRTH	37080	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	NA	1911	40.0	47	0.333	17.00	78	0.75000	35	0.00	2400	58.80	41.20	4.00	0.0	2.50	1.00	30.0	40	100.000	100	BAND
19910211	M254	ABBYPRESS	27490	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NA	1911	30.0	42	0.200	15.40	64	0.87500	NA	0.00	1425	63.00	37.00	0.00	0.0	1.00	1.30	34.0	40	107.400	100	NOBAND
19910215	R5	TARGET	35811	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	SPIEGEL	CANADIAN	1910	45.0	38	NA	15.00	80	0.62500	30	7.00	1600	58.10	34.90	0.00	0.0	2.50	1.50	30.0	40	103.220	100	BAND
19910113	J33	BELKS	35334	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1911	40.0	43	0.267	16.00	96	1.00000	28	0.00	1500	58.80	41.20	2.00	0.0	3.00	0.80	40.0	40	103.120	100	NOBAND
19910213	J43	BELKS	35334	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NORTHUS	1911	32.5	43	0.200	15.00	82	1.00000	31	7.60	1500	54.30	38.00	4.00	0.0	2.50	1.00	40.0	40	103.120	100	NOBAND
19910212	I357	SEARS	37869	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	NORTHUS	1911	37.5	44	0.300	15.00	85	0.75000	34	0.00	1400	62.50	37.50	0.00	0.0	2.80	1.00	28.0	40	103.120	100	NOBAND
19910212	I353	SEARS	37869	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1910	35.0	44	0.300	16.00	80	1.00000	32	7.00	1400	58.10	34.90	0.00	0.0	3.00	1.00	28.0	40	103.120	100	NOBAND
19910211	M254	ABBYPRESS	27490	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1911	30.0	42	0.200	15.40	64	0.87500	NA	0.00	1425	61.70	38.30	0.00	0.0	1.00	1.30	34.0	40	107.400	100	NOBAND
19910214	X291	ROSES	35752	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	50.0	43	0.200	16.00	82	0.87500	30	0.00	2270	55.60	44.40	12.00	0.0	2.00	1.00	30.0	40	103.220	100	NOBAND
19910214	X129	ROSES	35752	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	50.0	43	0.300	16.30	80	0.81250	30	0.00	2270	55.60	44.40	12.00	0.0	1.50	1.50	30.0	40	103.220	100	NOBAND
19910214	X297	JCPENNY	35794	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	NORTHUS	1911	60.0	43	0.267	15.80	57	0.75000	24	1.20	1480	58.10	40.70	0.00	0.0	1.40	1.70	33.0	40	103.120	100	NOBAND
19910214	X146	JCPENNY	35794	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	NORTHUS	1911	52.5	43	0.233	16.60	58	0.75000	20	7.90	1480	56.20	36.00	0.00	0.0	1.70	0.70	33.0	40	103.120	100	NOBAND
19910213	X129	ROSES	35752	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	NA	1910	50.0	43	0.300	17.00	87	0.81250	35	0.00	2300	58.80	41.20	0.00	0.0	1.30	0.70	30.0	40	103.220	100	NOBAND
19910215	E303	CENPURCH	37441	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	CANADIAN	1911	25.0	38	0.200	13.00	75	0.62500	25	0.00	1600	57.50	42.50	0.00	0.0	2.50	0.85	30.0	40	103.120	100	NOBAND
19910215	E68	CENPURCH	37441	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	CANADIAN	1911	25.0	38	0.233	14.00	70	0.62500	25	0.00	1600	58.80	41.20	5.00	0.0	1.70	0.90	30.0	40	103.120	100	NOBAND
19910221	J42	KMART	37354	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	SCANDANAVIAN	1911	40.0	46	0.333	15.90	78	0.50000	34	2.40	2000	61.00	36.60	0.00	0.0	2.40	1.30	35.0	40	103.220	100	NOBAND
19910223	X53	BELK	35335	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	NORTHUS	1911	45.0	41	0.333	17.00	78	0.75000	16	14.10	1100	50.50	35.40	0.00	0.0	2.50	1.00	50.0	40	96.970	100	BAND
19910223	X821	BELK	37335	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	NORTHUS	1911	47.5	41	0.233	16.50	72	0.75000	20	14.10	1300	50.50	35.40	4.00	0.0	2.50	1.00	50.0	40	96.970	100	BAND
19910220	X118	TOYSRUS	35870	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	CANADIAN	1910	40.0	46	0.200	15.00	68	0.75000	28	0.00	1700	58.80	41.20	0.00	0.0	1.00	1.00	33.0	40	103.220	100	NOBAND
19910220	X826	TOYSRUS	35870	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	9	TABLOID	CANADIAN	1911	40.0	46	0.267	16.50	68	0.87500	25	0.00	1700	58.80	41.20	0.00	0.0	1.00	1.00	33.0	40	103.125	100	NOBAND
19910216	R23	TARGET	35811	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	SPIEGEL	CANADIAN	1911	40.0	35	0.233	18.00	85	0.62500	30	0.00	2000	62.50	37.50	0.00	0.0	2.50	0.90	30.0	40	103.125	100	NOBAND
19910213	X291	ROSES	35752	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	50.0	43	0.200	17.00	84	NA	35	0.00	2300	55.60	44.40	0.00	0.0	2.00	0.80	30.0	40	103.220	100	NOBAND
19910215	I354	SEARS	37869	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NORTHUS	1911	35.0	38	0.400	12.00	62	0.75000	46	4.70	1400	58.80	36.50	0.00	0.0	2.00	1.00	28.0	40	103.125	100	NOBAND
19910215	I358	SEARS	37869	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NORTHUS	1911	35.0	38	0.433	16.00	70	0.75000	50	0.00	1400	62.50	37.50	0.00	0.0	2.80	1.50	28.0	40	103.125	100	NOBAND
19910220	X760	TVGUIDE	25509	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1911	50.0	46	0.200	14.60	60	0.62500	25	10.50	1750	52.60	36.80	2.00	0.0	2.40	0.80	28.0	40	96.970	100	BAND
19910304	E26	KMART	37386	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	SOUTHUS	1910	40.0	47	0.333	24.50	78	0.87500	30	8.80	2100	54.90	36.30	16.00	0.0	2.30	1.00	40.0	40	100.000	100	BAND
19910303	E84	KMART	37386	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	827	9	TABLOID	SOUTHUS	NA	40.0	47	0.350	14.43	76	0.75000	16	7.20	2000	51.50	41.20	1.00	0.0	2.70	1.40	40.0	40	100.000	100	BAND
19910301	E69	KMART	37386	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	SOUTHUS	1910	40.0	39	0.233	15.00	77	0.75000	20	9.40	2000	52.10	38.50	0.00	0.0	2.50	1.00	40.0	40	103.220	100	NOBAND
19910301	E77	KMART	37386	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	SOUTHUS	1910	40.0	39	0.200	15.00	79	0.75000	20	11.80	2000	49.00	39.20	0.00	0.0	2.50	1.00	40.0	40	103.220	100	NOBAND
19910309	E83	KMART	37386	NA	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	SOUTHUS	1911	NA	43	0.267	14.20	68	0.75000	18	0.00	2000	62.50	37.50	0.00	0.0	2.50	1.20	40.0	40	106.450	100	BAND
19910306	E67	KMART	37386	NA	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	SOUTHUS	1910	NA	48	0.233	14.00	80	0.75000	30	0.00	2000	62.50	37.50	0.00	0.0	NA	NA	40.0	40	109.670	100	BAND
19910311	E83	KMART	27386	NA	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	827	2	TABLOID	SOUTHUS	1911	NA	40	0.267	16.40	72	1.00000	26	0.00	2000	62.50	37.50	0.00	0.0	2.50	1.00	40.0	40	106.450	100	BAND
19910311	X791	KMART	37386	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	SOUTHUS	1911	40.0	40	0.350	18.50	85	0.56250	30	0.00	1900	62.50	37.50	4.00	0.0	1.80	1.40	40.0	40	106.450	100	BAND
19910227	E90	KMART	37254	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1911	42.5	41	0.300	14.00	70	0.62500	20	2.30	1750	57.50	40.00	4.00	0.0	2.50	0.70	35.0	40	96.970	100	NOBAND
19910302	X271	ECKERD	35457	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	CANADIAN	1910	35.0	39	0.200	16.20	84	1.00000	30	0.00	2100	62.50	37.50	4.00	0.0	2.00	0.90	30.0	40	94.117	100	NOBAND
19910307	F308	MODMAT	47202	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	YES	MOTTER70	813	9	CATALOG	NORTHUS	1910	35.0	45	0.300	14.10	65	1.00000	NA	0.00	1500	59.50	40.50	0.00	0.0	2.60	1.00	40.0	40	109.670	100	NOBAND
19910308	T281	MODMAT	47202	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	ALBERT70	802	2	CATALOG	NORTHUS	1910	50.0	43	0.333	14.02	68	0.75000	56	7.40	1800	53.20	39.40	0.00	0.5	3.00	1.30	40.0	40	109.670	100	NOBAND
19910307	F067	MODMAT	47202	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NORTHUS	1910	67.5	45	0.200	15.50	80	0.50000	34	16.30	1683	43.50	40.20	6.00	0.0	2.50	1.00	40.0	40	109.670	100	NOBAND
19910310	X405	AMES	37163	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	CANADIAN	1910	55.0	37	0.267	16.00	75	0.62500	20	5.60	1850	55.60	38.90	0.00	0.0	0.80	0.75	33.0	40	109.670	100	NOBAND
19910227	E91	KMART	37354	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1911	42.5	41	0.200	14.00	80	0.62500	20	7.40	1750	53.20	39.40	0.00	0.0	2.10	0.90	35.0	40	96.970	100	NOBAND
19910307	F615	MODMAT	47202	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	52.5	45	0.200	15.30	72	0.75000	NA	12.40	1600	51.50	36.10	0.00	0.0	2.50	1.00	40.0	40	109.670	100	NOBAND
19910307	F510	MODMAT	47202	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	YES	MOTTER70	813	10	CATALOG	NORTHUS	1910	35.0	45	0.200	15.20	63	1.00000	NA	0.00	1500	59.50	40.50	0.00	0.0	2.30	0.90	40.0	40	109.670	100	NOBAND
19910307	F670	MODMAT	47202	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	52.5	45	0.233	16.00	68	0.75000	NA	0.00	1600	58.80	41.20	4.00	0.0	2.30	0.80	40.0	40	109.670	100	NOBAND
19910317	E310	KMART	37355	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	1910	49.0	43	0.350	14.50	74	0.75000	23	9.10	1900	56.80	34.10	2.00	0.0	0.70	0.20	35.0	40	103.220	100	BAND
19910314	F670	MODMAT	47202	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	52.5	37	0.233	14.00	73	0.75000	NA	9.60	1600	53.20	37.20	0.00	0.0	2.30	1.00	40.0	40	109.670	100	NOBAND
19910309	M402	MODMAT	47202	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	9	CATALOG	NORTHUS	1910	52.5	43	0.267	15.10	76	0.50000	31	6.60	1650	54.90	38.50	0.00	0.0	2.50	1.50	40.0	40	109.670	100	NOBAND
19910316	X18	KMART	37355	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	SCANDANAVIAN	1910	40.0	44	0.200	16.10	78	0.93750	30	5.60	1800	55.60	38.90	0.00	0.0	2.00	1.00	35.0	40	103.220	100	NOBAND
19910314	F615	MODMAT	47202	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	NA	52.5	37	0.200	15.00	66	0.75000	NA	13.30	1600	55.60	42.20	0.00	0.0	2.40	0.80	40.0	40	100.000	100	NOBAND
19910318	F310	KMART	37355	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	NA	1910	40.0	43	0.350	16.50	72	0.62500	20	9.10	2000	56.80	34.10	4.00	0.0	2.50	0.50	35.0	40	103.220	100	NOBAND
19910318	F72	KMART	37355	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	NA	1910	40.0	43	0.350	16.10	70	0.62500	20	11.10	2000	55.60	33.30	4.00	0.0	1.80	0.90	35.0	40	103.220	100	NOBAND
19910319	X308	ROSES	35753	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	40.0	43	0.267	16.00	80	0.56250	30	5.60	1900	55.60	38.90	0.00	0.0	2.20	1.30	30.0	40	103.220	100	NOBAND
19910319	X720	TVGUIDE	25513	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1911	45.0	45	NA	14.70	75	0.62500	30	15.00	1734	50.00	35.00	2.00	0.0	1.50	0.60	34.0	40	103.220	100	BAND
19910322	G404	JCP	38051	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	NA	60.0	49	0.333	14.90	77	0.75000	27	0.00	1650	58.80	41.20	0.00	0.0	2.50	0.70	33.0	40	103.330	100	NOBAND
19910325	X798	TVGUIDE	25514	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NA	1910	55.0	49	0.267	12.50	70	0.62500	30	5.60	1750	55.60	38.90	0.00	0.0	2.50	0.90	34.0	40	106.660	100	BAND
19910320	X160	TVGUIDE	25513	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1911	45.0	45	NA	15.10	75	0.62500	20	15.00	1750	50.00	35.00	0.00	0.0	1.60	0.90	34.0	40	103.220	100	NOBAND
19910322	G416	JCP	38051	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	1910	55.0	49	0.200	15.60	74	0.75000	24	0.00	1650	58.80	41.20	0.00	0.0	2.50	1.70	33.0	40	103.330	100	NOBAND
19910323	X350	KMART	37355	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	NA	1911	40.0	49	0.233	15.30	74	1.00000	34	0.00	2000	62.50	37.50	0.00	0.0	2.20	1.00	35.0	40	100.000	100	NOBAND
19910323	X264	KMART	37355	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	NA	1911	40.0	49	0.233	16.80	78	0.93750	30	0.00	2000	62.50	37.50	0.00	0.0	2.40	0.90	35.0	40	100.000	100	NOBAND
19910402	X838	TVGUIDE	25515	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1911	42.5	46	0.300	14.00	77	0.62500	42	15.80	1850	49.50	34.60	8.00	0.0	1.50	0.80	34.0	40	100.000	100	BAND
19910404	X89	WOOLWORTH	37081	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	1	TABLOID	CANADIAN	1911	35.0	44	0.200	15.50	100	0.87500	30	0.00	2200	53.20	46.80	0.00	0.0	0.00	0.00	30.0	40	100.000	100	BAND
19910330	X102	BELK	35534	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	827	2	TABLOID	NORTHUS	1910	42.0	44	0.300	15.00	80	1.25000	20	16.70	1300	49.00	34.30	0.00	0.0	2.50	0.20	40.0	40	110.000	100	NOBAND
19910330	X830	BELK	35534	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	827	9	TABLOID	NORTHUS	1910	45.0	44	0.300	15.50	75	1.25000	20	14.10	1300	50.50	35.40	0.00	0.0	2.50	1.50	40.0	40	110.000	100	NOBAND
19910405	X118	ROSES	35754	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	50.0	43	0.300	16.00	70	0.81250	30	3.40	2400	56.80	39.80	0.00	0.0	2.50	0.80	30.0	40	103.125	100	NOBAND
19910405	X35	ROSES	35754	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	47.0	43	0.267	16.00	80	0.56250	30	9.10	2400	50.50	40.40	0.00	0.0	2.50	1.10	30.0	40	103.125	100	NOBAND
19910327	X390	COLORTILE	37572	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1911	35.0	48	0.233	16.00	76	0.81250	30	8.90	1900	49.50	41.60	0.00	0.0	2.50	1.20	30.0	40	103.220	100	NOBAND
19910327	X754	COLORTILE	37572	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1911	35.0	48	0.233	16.00	86	0.56250	30	16.10	1900	44.60	39.30	0.00	0.0	2.50	1.50	30.0	40	103.220	100	NOBAND
19910402	O2	TARGET	35814	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	2	SPIEGEL	CANADIAN	1911	35.0	43	0.233	14.00	75	1.25000	20	7.60	NA	54.30	38.00	0.00	0.0	2.50	2.00	33.0	40	106.660	100	NOBAND
19910402	3	TARGET	35814	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	SPIEGEL	CANADIAN	1911	37.5	43	0.233	14.00	80	1.25000	20	6.25	NA	52.10	41.70	0.00	0.0	3.00	1.50	33.0	40	106.660	100	NOBAND
19910406	F103	BESTPROD	37822	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	40.0	44	0.200	15.00	68	0.75000	NA	0.00	1750	58.80	41.20	0.00	0.0	2.70	0.70	35.0	40	103.125	100	NOBAND
19910406	S180	BESTPROD	37822	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	40.0	44	0.233	15.50	68	0.75000	NA	5.60	1750	55.60	38.90	0.00	0.0	1.50	0.50	35.0	40	103.125	100	NOBAND
19910511	O8	TARGET	35816	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	SPIEGEL	CANADIAN	1910	47.5	68	0.400	14.00	78	0.75000	22	0.00	1900	62.50	37.50	0.00	0.0	2.10	1.70	33.0	40	103.125	100	BAND
19910501	G608	ECKERD	35458	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	816	2	TABLOID	CANADIAN	1910	40.0	60	0.233	15.00	78	1.00000	28	0.00	2380	60.00	40.00	3.00	0.0	2.50	1.00	30.0	40	106.660	100	BAND
19910502	F416	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER70	813	9	CATALOG	NORTHUS	1910	55.0	55	0.300	16.30	100	1.00000	NA	0.00	1650	58.80	41.20	0.00	0.0	NA	NA	40.0	40	106.660	100	BAND
19910502	R14	TARGET	35816	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	SPIEGEL	CANADIAN	1910	40.0	55	0.433	15.50	92	0.75000	22	9.60	1550	53.20	37.20	1.00	0.0	2.90	1.30	33.0	40	106.660	100	BAND
19910503	R14	TARGET	35816	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	SPIEGEL	CANADIAN	1910	40.0	52	NA	16.00	86	0.75000	26	9.60	1975	53.20	37.20	1.00	0.0	2.90	1.30	33.0	40	100.000	100	BAND
19910503	X249	GUIDEPOSTS	23055	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1910	42.5	52	0.400	13.90	76	0.62500	25	0.00	1800	50.00	50.00	0.00	0.0	2.50	0.90	40.0	40	106.660	100	BAND
19910507	X817	TVGUIDE	25520	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	CANADIAN	1910	50.0	56	0.267	15.20	76	0.62500	25	3.40	1760	56.80	39.80	2.00	0.0	2.50	0.80	34.0	40	103.125	100	BAND
19910508	X746	TVGUIDE	25520	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	45.0	57	0.267	14.00	76	0.75000	20	3.40	1800	56.20	40.40	2.00	0.0	2.00	0.80	34.0	40	103.125	100	BAND
19910517	X195	TOYSRUS	35982	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	CANADIAN	1910	47.0	67	0.400	16.00	74	0.81250	38	0.00	1900	58.80	41.20	2.00	0.0	2.50	1.10	33.0	40	103.125	100	NOBAND
19910517	X405	TOYSRUS	35872	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	47.0	67	0.333	16.00	82	0.56250	30	1.50	1900	50.50	34.30	0.00	0.0	2.50	1.10	33.0	40	103.125	100	NOBAND
19910505	M337	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	50.0	52	0.300	17.00	69	0.75000	NA	0.00	1700	58.80	41.20	0.00	0.0	2.20	0.90	40.0	40	106.660	100	NOBAND
19910507	T32	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	50.0	55	0.233	13.34	74	0.62500	NA	4.80	1635	59.50	35.70	1.00	0.0	3.00	2.00	40.0	40	100.000	100	NOBAND
19910507	M410	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	50.0	55	0.233	13.86	70	0.62500	47	10.20	1635	51.00	38.80	0.00	0.0	3.00	1.00	40.0	40	100.000	100	NOBAND
19910505	E510	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	50.0	52	0.267	15.60	71	0.75000	NA	20.60	1700	46.70	32.70	0.00	0.0	2.50	0.60	40.0	40	106.660	100	NOBAND
19910409	G108	AMES	37168	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1911	30.0	63	0.300	13.00	94	1.00000	29	0.00	1800	56.20	43.80	0.00	0.0	2.50	1.00	30.0	40	110.000	100	BAND
19910415	G145	WARDS	37333	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1911	50.0	60	0.267	13.60	86	1.12500	28	0.00	1500	64.10	35.90	0.00	0.0	2.50	1.00	33.0	40	106.450	100	BAND
19910416	X356	TVGUIDE	25517	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1911	55.0	53	0.300	14.20	72	0.62500	25	22.70	1750	45.50	31.80	1.00	0.0	2.40	0.90	34.0	40	103.125	100	BAND
19910426	G95	WARDS	37333	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	2	TABLOID	CANADIAN	1910	35.0	56	0.300	15.30	80	0.75000	20	0.00	1900	76.90	23.10	0.00	0.0	2.50	1.25	33.0	40	106.660	100	BAND
19910426	X802	HANHOUSE	37994	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1911	55.0	56	0.233	15.00	84	0.62500	25	16.70	1850	52.10	31.30	4.00	0.0	2.00	0.60	34.0	40	103.125	100	BAND
19910422	X779	TVGUIDE	25513	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1910	55.0	49	0.200	15.00	78	0.62500	20	17.10	1900	47.60	35.20	0.00	0.0	2.50	0.85	34.0	40	106.450	100	BAND
19910426	T380	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NORTHUS	1910	50.0	50	0.200	15.70	90	0.75000	50	0.00	1420	62.50	37.50	0.00	0.0	3.00	1.35	40.0	40	106.450	100	NOBAND
19910426	F146	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NORTHUS	1910	50.0	50	0.200	15.50	74	0.75000	58	4.80	1420	59.50	35.70	3.00	0.0	3.00	1.00	40.0	40	106.450	100	NOBAND
19910428	X9	TOYSRUS	35871	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1911	35.0	56	0.233	16.00	82	0.56250	28	5.60	2100	56.20	38.20	0.00	0.0	1.70	0.40	30.0	40	103.125	100	NOBAND
19910428	X21	TOYSRUS	35871	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1911	35.0	56	0.200	15.00	80	0.81250	40	8.60	2100	53.80	37.60	8.00	0.0	1.70	1.00	30.0	40	100.000	100	NOBAND
19910419	X220	AMES	37169	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1911	40.0	50	0.200	16.00	68	0.81250	30	0.00	2400	58.80	41.20	8.00	0.0	2.50	1.50	33.0	40	103.125	100	NOBAND
19910419	X147	AMES	47169	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1911	40.0	50	0.233	16.00	70	0.56250	30	0.00	2400	58.80	41.20	8.00	0.0	1.50	0.50	33.0	40	103.125	100	NOBAND
19910415	E92	KMART	32360	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	NA	1910	NA	59	0.233	14.20	80	1.00000	20	5.60	NA	55.60	38.90	0.00	0.0	2.00	2.50	33.0	40	106.450	100	NOBAND
19910415	E85	KMART	32360	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	NA	1911	37.5	59	0.233	16.00	75	0.75000	20	4.30	NA	54.30	41.30	0.00	0.0	2.50	1.50	33.0	40	106.450	100	NOBAND
19910409	F685	BESTPROD	37822	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	CATALOG	NORTHUS	1911	40.0	54	0.200	15.80	76	0.50000	38	5.60	1736	55.60	38.90	0.00	0.0	2.50	1.50	35.0	40	103.125	100	NOBAND
19910409	F569	BESTPROD	37822	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NORTHUS	1911	40.0	54	0.200	15.40	78	0.50000	34	5.70	1736	56.80	36.90	0.00	0.0	2.50	1.10	35.0	40	103.125	100	NOBAND
19910426	X139	HANHOUSE	37994	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	2	TABLOID	NORTHUS	1911	55.0	45	0.267	15.50	79	0.62500	20	16.70	1850	54.30	34.30	4.00	0.0	2.50	1.00	34.0	40	100.000	100	NOBAND
19910430	X12	TVGUIDE	25519	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1910	52.0	64	0.400	15.50	82	0.62500	30	0.00	1800	71.40	28.60	4.00	0.0	2.50	0.90	34.0	40	103.125	100	BAND
19910423	G518	ECKERD	35458	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	816	9	TABLOID	CANADIAN	1910	40.0	56	0.233	16.50	79	0.50000	28	0.00	2300	60.20	39.80	0.00	0.0	2.50	1.50	30.0	40	106.450	100	BAND
19910605	X116	ECKERD	35460	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	45.0	54	0.333	15.50	76	0.81250	30	5.60	2250	55.60	38.90	2.00	0.0	2.50	1.30	30.0	40	106.450	100	NOBAND
19910604	X818	KMART	37365	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	SCANDANAVIAN	1910	47.5	68	0.400	16.00	80	0.75000	30	0.00	2250	58.80	41.20	0.00	0.0	1.50	1.00	35.0	40	106.450	100	NOBAND
19910604	X346	KMART	37365	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	SCANDANAVIAN	1910	47.5	68	0.350	16.00	80	0.75000	30	0.00	2250	52.10	47.90	0.00	0.0	1.50	0.75	35.0	40	106.450	100	NOBAND
19910605	X103	ECKERD	35460	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	45.0	54	0.367	15.50	74	0.56250	40	10.50	2250	52.60	36.80	2.00	0.0	2.50	1.80	30.0	40	106.450	100	NOBAND
19910603	E74	KMART	37365	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	MOTTER94	827	2	TABLOID	CANADIAN	1911	37.5	70	0.333	14.90	64	0.75000	28	3.40	1500	57.50	39.10	0.00	0.0	2.50	1.00	40.0	40	106.890	100	NOBAND
19910603	E86	KMART	37365	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1911	37.5	70	0.400	15.00	65	0.75000	25	5.40	1500	54.30	40.20	0.00	0.0	2.30	0.90	40.0	40	106.660	100	NOBAND
19910529	X396	WARDS	37338	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1911	47.5	60	0.400	14.50	74	0.81250	20	8.60	1600	53.80	37.60	0.00	0.0	2.00	1.50	35.0	40	110.000	100	NOBAND
19910524	X155	ROSES	37758	NO	KEY	YES	NA	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	CANADIAN	1910	40.0	62	0.300	16.00	84	0.93750	28	0.00	2200	58.80	41.20	4.00	0.0	2.50	0.60	30.0	40	106.450	100	NOBAND
19910524	X29	ROSES	35758	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	CANADIAN	1910	40.0	62	0.267	16.00	84	0.93750	32	0.00	2200	58.80	41.20	4.00	0.0	1.40	1.00	30.0	40	106.450	100	NOBAND
19910430	G518	ECKERD	35458	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	CANADIAN	1910	40.0	64	0.200	15.50	85	1.00000	26	0.00	2400	58.80	41.20	0.00	0.0	2.50	1.00	30.0	40	103.125	100	NOBAND
19910430	G608	ECKERD	35458	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	CANADIAN	1910	40.0	64	0.233	15.00	82	0.75000	31	0.00	2400	60.00	40.00	3.00	0.0	2.50	1.00	30.0	40	106.660	100	NOBAND
19910531	M337	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	50.0	69	0.367	17.00	82	0.75000	50	0.00	1700	62.50	37.50	0.00	0.0	3.00	1.00	40.0	40	106.450	100	BAND
19910529	X381	WARDS	37338	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	9	TABLOID	CANADIAN	1911	50.0	60	0.400	16.00	76	0.56250	28	5.60	1600	55.60	38.90	0.00	0.0	1.00	0.50	35.0	40	110.000	100	NOBAND
19910524	J582	HILLS	37915	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	NA	1910	50.0	62	0.400	15.40	98	0.75000	25	10.60	1750	48.10	41.30	0.00	0.0	2.80	1.30	33.0	40	110.000	100	NOBAND
19910524	J62	HILLS	37915	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	NA	1911	50.0	62	0.400	14.90	96	0.75000	26	11.00	1950	50.00	39.00	0.00	0.0	2.80	0.80	33.0	40	110.000	100	NOBAND
19910528	F510	MODMAT	47203	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	50.0	68	0.367	13.40	70	NA	NA	20.40	1700	46.30	33.30	0.00	0.0	2.50	1.00	40.0	40	106.450	100	BAND
19910604	Y216	KMART	37305	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	SCANDANAVIAN	1911	35.0	68	0.400	15.10	90	0.87500	30	6.00	1500	59.50	34.50	1.00	0.0	2.50	1.00	35.0	40	106.890	100	BAND
19910610	G089	WARDS	37501	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1910	NA	56	0.300	16.02	84	0.25000	30	5.30	2244	52.60	42.10	5.00	0.0	3.00	0.80	30.0	40	110.000	100	NOBAND
19910610	G572	WARDS	37501	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	NA	32.5	56	0.367	15.03	79	0.31250	28	5.30	2244	52.60	42.10	0.00	0.0	1.80	0.50	30.0	40	106.450	100	NOBAND
19910611	X390	AMES	37177	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	CANADIAN	1910	40.0	56	0.300	17.00	82	0.75000	30	0.00	2550	52.60	47.40	0.00	0.0	2.00	1.00	33.0	40	103.220	100	NOBAND
19910611	X831	WARDS	37177	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	CANADIAN	1910	30.0	56	0.283	17.00	72	0.75000	30	0.00	2550	52.60	47.40	0.00	0.0	2.00	1.00	33.0	40	103.220	100	NOBAND
19910614	G78	WARDS	37501	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1910	30.0	69	0.300	16.00	98	0.75000	35	0.00	2050	62.50	37.50	0.00	0.0	2.75	1.00	33.0	40	100.000	100	NOBAND
19910614	X158	ROSES	35759	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1910	45.0	69	0.267	15.60	72	0.75000	21	5.60	2426	55.60	38.90	0.00	0.0	2.85	1.10	30.0	40	103.220	100	NOBAND
19910614	X804	ROSES	37579	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1910	45.0	69	0.267	16.10	76	0.75000	22	5.60	2426	55.60	38.90	0.00	0.0	2.70	0.70	30.0	40	103.220	100	NOBAND
19910614	G69	WARDS	37501	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	9	TABLOID	CANADIAN	1910	32.5	69	0.200	15.50	94	0.75000	30	0.50	2050	52.60	42.10	0.00	0.0	2.50	1.00	33.0	40	100.000	100	NOBAND
19910627	X820	WARDS	37502	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	CANADIAN	1910	NA	66	0.200	15.00	82	0.81250	30	7.00	1900	58.10	34.90	5.00	0.0	2.50	0.90	30.0	40	103.125	100	BAND
19910626	I343	MASSEY	37938	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	CATALOG	NORTHUS	1910	45.0	65	0.300	16.30	78	0.75000	32	3.40	1700	56.80	39.80	4.00	0.0	2.50	1.00	34.0	40	106.450	100	BAND
19910622	R2	SHEPLERS	35528	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	NORTHUS	1910	40.0	68	0.300	14.00	88	0.75000	32	0.00	1742	60.00	40.00	3.00	0.0	2.50	1.00	40.0	40	103.125	100	BAND
19910619	X760	WARDS	37199	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	40.0	64	0.200	16.50	82	0.56250	30	2.30	1900	57.50	40.20	0.00	0.0	1.30	0.80	30.0	40	106.450	100	BAND
19910618	I383	CHILDCRAFT	37003	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1910	40.0	65	0.267	16.20	79	0.62500	30	0.00	1500	62.50	37.50	4.00	0.0	2.50	1.00	38.0	40	106.450	100	BAND
19910617	T176	HANOVERHOUSE	37990	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	50.0	66	0.233	16.00	87	1.00000	NA	11.10	1530	55.60	33.30	0.00	0.0	2.50	1.00	34.0	40	100.000	100	BAND
19910609	Y255	KMART	37365	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	NORTHUS	1911	35.0	62	0.400	14.50	94	1.00000	35	0.00	1900	63.30	36.70	0.00	0.0	2.50	1.00	35.0	40	106.890	100	BAND
19910609	X253	ECKERD	35460	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	CANADIAN	1910	40.0	62	NA	16.00	80	0.81250	40	0.00	2250	62.50	37.50	0.00	0.0	2.50	0.70	30.0	40	110.000	100	BAND
19910607	AA11	KMART	37365	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	NORTHUS	1910	42.5	58	0.400	15.00	76	1.00000	20	5.40	2000	54.30	40.20	0.00	0.0	2.50	1.00	35.0	40	103.330	100	BAND
19910707	M362	MODMAT	47204	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	9	CATALOG	NORTHUS	1910	50.0	64	0.233	18.00	64	1.00000	NA	0.00	1300	62.50	37.50	0.00	0.0	3.00	1.00	40.0	40	106.450	100	BAND
19910707	F26	MODMAT	47204	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	10	CATALOG	NA	1910	50.0	64	0.200	16.00	86	0.75000	NA	0.00	1300	58.80	41.10	0.00	0.0	2.50	1.00	40.0	40	106.450	100	BAND
19910629	I820	MASSEY	37938	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	CANADIAN	1910	60.0	66	0.200	14.50	85	0.25000	NA	0.00	NA	62.20	37.80	0.00	0.0	2.50	1.00	34.0	40	106.450	100	BAND
19910706	X367	WARDS	37505	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	9	TABLOID	CANADIAN	1910	40.0	64	0.233	15.40	88	0.56250	24	4.40	1835	55.50	40.00	2.00	0.0	2.00	1.30	30.0	40	106.450	100	NOBAND
19910706	X793	WARDS	37505	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	CANADIAN	1910	40.0	64	0.200	16.00	76	0.81250	23	4.80	1835	59.50	35.70	3.00	0.0	2.00	0.70	30.0	40	106.450	100	NOBAND
19900514	F679	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	CATALOG	NORTHUS	1910	47.5	63	0.300	16.40	84	0.50000	27	20.70	1800	41.30	38.00	5.00	0.0	2.60	0.30	40.0	33	96.700	100	BAND
19900509	F242	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	WOODHOE70	816	9	CATALOG	NORTHUS	1910	50.0	50	0.300	14.50	84	0.25000	24	20.70	1500	41.30	38.00	0.00	0.0	3.00	0.60	40.0	33	103.300	100	BAND
19900511	M260	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	50.0	48	0.233	13.00	80	1.00000	NA	18.90	1700	47.20	34.00	0.00	0.0	2.70	0.60	40.0	33	100.000	100	BAND
19900518	I331	AUSTADS	34402	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	WOODHOE70	815	9	CATALOG	NORTHUS	1911	52.0	54	0.500	16.00	82	0.87500	22	15.80	900	49.50	34.70	0.00	0.0	2.50	1.00	50.0	40	96.700	100	BAND
19900414	O21	TARGET	34545	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	827	2	SPIEGEL	CANADIAN	1910	40.0	41	0.233	14.00	79	0.75000	20	0.00	1530	61.70	38.30	5.00	0.0	3.10	1.80	33.0	33	96.900	100	NOBAND
19900418	J68	WARDS	36053	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	CANADIAN	1910	45.0	42	0.233	15.00	76	0.75000	30	0.00	2220	58.80	41.20	0.00	0.0	2.50	1.00	30.0	35	100.000	100	NOBAND
19900418	J42	WARDS	36053	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1910	45.0	42	0.233	16.00	84	0.62500	28	0.00	2220	54.30	45.70	0.00	0.0	2.50	1.00	30.0	35	100.000	100	NOBAND
19900606	F331	NATLWILDLIFE	36859	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NORTHUS	1911	55.0	54	0.267	15.00	70	0.62500	60	3.40	1600	56.80	39.80	0.00	0.0	1.00	0.40	45.0	40	103.300	100	NOBAND
19900606	F571	NATLWILDLIFE	36859	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1911	57.5	54	0.267	15.50	80	0.62500	55	0.00	1600	62.50	37.50	0.00	0.0	3.00	0.50	45.0	40	103.300	100	NOBAND
19900507	M93	MODMAT	47103	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	9	CATALOG	NORTHUS	1910	40.0	54	0.233	15.59	89	1.00000	NA	1.20	1700	58.10	40.70	0.00	0.0	2.50	0.60	40.0	33	103.300	100	NOBAND
19900409	G467	ECKERD	34683	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	NORTHUS	1910	40.0	38	0.300	16.00	92	0.62500	25	1.10	1900	53.80	45.20	0.00	0.0	2.50	1.00	30.0	33	100.000	100	NOBAND
19900524	F227	JAMESWAY	36648	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	1	CATALOG	CANADIAN	1911	50.0	60	0.300	14.00	75	0.62500	33	0.00	2000	65.20	34.80	0.00	0.0	0.00	0.00	35.0	40	96.900	100	BAND
19900425	G496	BURDINES	34664	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	WOODHOE70	816	9	TABLOID	NORTHUS	1910	45.0	49	0.200	16.00	72	0.37500	38	15.00	1650	50.00	35.00	0.00	0.0	2.50	0.20	38.0	33	96.900	100	BAND
19900418	F329	EXXON	36858	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	60.0	43	0.367	15.00	94	1.00000	NA	9.50	1500	52.60	37.90	0.00	4.0	2.50	1.00	40.0	35	100.000	100	BAND
19900409	X203	TVGUIDE	25416	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1911	47.5	41	0.333	18.00	74	0.50000	30	17.70	1900	44.20	38.10	2.00	0.0	2.50	1.00	40.0	33	100.000	100	BAND
19900417	T313	EXXON	36858	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NORTHUS	1910	47.5	52	0.267	14.30	98	0.75000	55	11.70	1600	53.20	35.10	0.00	0.0	3.00	1.00	40.0	33	100.000	100	BAND
19900606	R4	TARGET	34546	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	CANADIAN	1911	37.5	54	0.300	14.50	80	1.00000	20	10.90	2400	54.30	34.80	0.00	0.0	2.50	0.40	30.0	40	103.300	100	NOBAND
19900606	R15	TARGET	34546	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	CANADIAN	1911	52.5	54	0.267	14.60	82	NA	32	10.50	2400	52.60	36.80	0.00	0.0	2.50	0.50	30.0	40	100.000	100	NOBAND
19900517	X400	WARDS	36054	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1910	45.0	55	0.300	15.00	75	0.75000	25	0.00	2300	59.80	40.20	0.00	0.0	2.00	2.30	30.0	33	96.600	100	NOBAND
19900426	O6	TARGET	34545	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	MOTTER94	827	9	TABLOID	CANADIAN	1910	40.0	48	0.300	15.00	82	1.00000	35	0.00	1720	59.30	40.70	0.00	0.0	1.50	1.50	32.0	33	100.000	100	NOBAND
19900426	O14	TARGET	34545	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	MOTTER94	827	2	TABLOID	CANADIAN	1910	40.0	48	0.333	15.00	75	1.00000	30	0.00	1720	61.70	38.30	0.00	0.0	2.50	3.00	33.0	33	103.200	100	NOBAND
19900505	T244	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	50.0	52	0.200	14.00	80	0.75000	60	4.40	1700	54.90	40.70	0.00	0.0	2.50	1.00	40.0	33	100.000	100	BAND
19900507	M260	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1910	55.0	54	0.233	13.23	79	1.00000	NA	18.90	1700	47.20	34.00	0.00	0.0	2.00	0.60	40.0	33	100.000	100	NOBAND
19900507	T383	MODMAT	47103	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	10	CATALOG	NORTHUS	1910	40.0	54	0.267	14.42	87	1.00000	NA	4.50	1700	56.20	39.30	0.00	0.0	2.50	1.00	40.0	33	96.800	100	NOBAND
19900507	T78	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NORTHUS	1910	72.5	54	0.200	14.50	82	0.75000	50	2.20	1900	56.70	41.60	0.00	0.0	3.00	0.90	40.0	33	100.000	100	NOBAND
19900507	M4	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	47.5	54	0.200	16.08	69	1.00000	NA	3.30	1700	55.50	41.10	0.00	0.0	2.50	0.90	40.0	30	103.300	100	NOBAND
19900510	F672	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NORTHUS	1910	60.0	50	0.300	15.00	72	0.75000	30	15.90	1700	44.20	39.80	1.00	0.0	3.00	0.50	40.0	33	100.000	100	BAND
19900517	X776	TOYSRUS	34752	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	YES	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	50.0	48	0.333	15.80	70	NA	30	0.00	1900	58.80	41.20	5.00	0.0	2.50	1.20	30.0	33	100.000	100	NOBAND
19900517	X713	TOYSRUS	34752	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	NORTHUS	1910	50.0	48	0.233	15.50	68	0.81250	30	0.00	1900	57.40	42.60	10.00	0.0	1.50	1.00	30.0	33	100.000	100	NOBAND
19900507	M432	HOMESHOPPING	36928	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	CANADIAN	1910	40.0	54	0.233	15.00	80	0.75000	28	0.00	1800	58.80	41.20	0.00	0.0	2.50	1.20	30.0	33	100.000	100	NOBAND
19900507	M257	HOMESHOPPING	36928	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	CANADIAN	1910	40.0	54	0.300	15.00	88	0.75000	28	0.00	1800	58.80	41.20	0.00	0.0	2.50	1.20	30.0	33	100.000	100	NOBAND
19900606	X138	TVGUIDE	25424	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1911	40.0	54	0.333	14.10	80	NA	20	24.80	1850	41.30	33.90	3.00	0.0	2.50	0.80	40.0	40	103.300	100	NOBAND
19900603	F670	NTLWILDLIFE	36859	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	NA	50.0	65	NA	17.00	100	0.62500	52	5.60	1650	55.50	38.90	0.00	0.0	3.00	0.60	45.0	NA	NA	100	BAND
19900617	X787	HANOVERHOUSE	34093	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1910	52.5	62	0.433	14.50	95	0.75000	20	0.00	1950	58.80	41.20	0.00	0.0	2.00	1.00	38.0	35	100.000	100	BAND
19900602	F590	NATLWILDLIFE	36859	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	50.0	56	0.200	14.30	105	0.75000	70	0.00	1600	55.50	44.50	0.00	0.0	3.00	1.00	45.0	35	100.000	100	BAND
19900608	F19	JAMESWAY	36649	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	MOTTER70	813	6	CATALOG	SCANDANAVIAN	1911	47.5	62	0.333	15.00	84	NA	NA	5.60	NA	56.20	38.20	0.00	0.0	2.50	1.00	35.0	40	96.700	100	NOBAND
19900608	F89	JAMESWAY	36649	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	MOTTER70	813	1	CATALOG	SCANDANAVIAN	1911	47.5	62	NA	15.00	80	NA	NA	5.60	NA	56.20	38.20	0.00	0.0	2.50	1.00	35.0	40	96.900	100	NOBAND
19900615	R17	TARGET	34547	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	SPIEGEL	CANADIAN	1910	30.0	58	0.433	15.90	81	0.62500	30	0.00	2150	62.50	37.50	10.00	0.0	2.50	1.00	30.0	35	90.000	100	NOBAND
19900615	R29	TARGET	34547	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	SPIEGEL	CANADIAN	1910	30.0	58	0.333	16.30	78	0.62500	30	0.00	2150	58.80	41.20	10.00	0.0	2.50	1.00	30.0	35	90.000	100	NOBAND
19900612	X423	WARDS	36894	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	30.0	51	0.300	16.00	70	0.81250	20	0.00	2250	58.80	41.20	0.00	0.0	1.50	0.60	30.0	35	103.300	100	NOBAND
19900612	X414	WARDS	36894	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	YES	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	30.0	51	0.333	16.00	76	0.87500	25	19.10	2250	42.70	38.20	3.00	0.0	1.20	0.50	30.0	35	103.300	100	NOBAND
19900615	X84	WARDS	36057	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1910	30.0	58	0.467	15.00	98	0.75000	30	0.00	2300	58.80	41.20	6.00	0.0	2.25	1.00	30.0	35	100.000	100	NOBAND
19900615	X96	WARDS	36057	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1910	30.0	58	0.467	15.00	96	0.75000	30	0.00	2300	58.80	41.20	6.00	0.0	3.00	0.75	30.0	35	100.000	100	NOBAND
19900606	G407	CHILDWORLD	36024	YES	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	9	TABLOID	CANADIAN	1910	52.5	54	0.433	16.30	90	0.75000	38	0.00	1800	62.50	38.50	0.00	0.0	2.90	1.10	33.0	35	100.000	100	NOBAND
19900606	G150	CHILDWORLD	36024	YES	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	2	TABLOID	CANADIAN	1910	55.5	54	0.233	15.00	82	0.75000	38	0.00	1800	58.80	41.20	0.00	0.0	2.00	1.00	33.0	35	100.000	100	NOBAND
19900606	X777	TVGUIDE	25424	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	MOTTER94	821	2	TABLOID	NORTHUS	NA	40.0	54	NA	14.60	85	NA	20	21.70	1850	43.50	34.80	0.00	0.0	2.50	0.80	40.0	NA	NA	100	NOBAND
19900614	B6	DOWNS	34397	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	MIDEUROPEAN	1910	50.0	53	0.300	16.00	65	0.75000	NA	15.80	1300	49.50	34.70	0.00	0.0	2.50	1.00	28.0	35	93.500	100	NOBAND
19900614	F85	DOWNS	34397	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	6	CATALOG	MIDEUROPEAN	1910	50.0	53	0.300	16.50	90	0.75000	NA	11.30	1300	51.50	37.10	0.00	0.0	2.50	0.70	28.0	35	100.000	100	NOBAND
19900621	I301	GLOBAL	36846	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	YES	ALBERT70	802	7	CATALOG	NORTHUS	1910	50.0	59	0.367	13.00	92	0.62500	49	0.00	1300	58.80	41.20	0.00	0.0	3.00	1.10	40.0	35	100.000	100	BAND
19900622	F135	CASUALLIVING	38025	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	9	CATALOG	NORTHUS	1910	57.5	55	0.333	14.00	86	0.75000	30	13.00	1700	50.00	37.00	0.00	0.0	2.90	0.90	34.0	35	100.000	100	NOBAND
19900622	T178	CASUALLIVING	38025	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	2	CATALOG	NORTHUS	1910	55.0	55	0.300	13.00	86	0.75000	28	13.70	1700	49.00	37.30	0.00	0.0	3.00	0.80	34.0	35	100.000	100	NOBAND
19900611	F257	CAMPINGWORLD	36874	NA	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	CANADIAN	NA	NA	60	NA	15.50	80	NA	30	13.00	1750	54.30	32.60	0.00	0.0	2.75	1.00	33.0	NA	NA	100	NOBAND
19900611	F170	CAMPINGWORLD	37874	NA	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	CANADIAN	NA	NA	60	NA	15.00	78	0.62500	34	15.00	1750	50.00	35.00	0.00	0.0	2.50	1.00	33.0	NA	NA	100	NOBAND
19900622	F77	CHILDCRAFT	36911	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	MOTTER70	813	6	CATALOG	NORTHUS	1910	50.0	59	0.400	15.00	90	0.75000	NA	0.00	1500	58.80	41.20	0.00	0.0	2.50	1.00	40.0	35	100.000	100	BAND
19900626	X95	TVGUIDE	25427	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1910	55.0	49	0.233	15.60	80	1.00000	30	35.80	1950	41.70	22.50	1.00	0.0	2.70	1.00	40.0	37	100.000	100	BAND
19900625	M254	OLDVILLAGESHOP	34092	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NA	1910	65.0	49	0.333	13.50	82	0.62500	30	0.00	1350	68.20	31.80	1.00	0.0	2.50	1.00	38.0	37	103.200	100	BAND
19900622	I347	GLOBALEQUP	36846	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	65.0	65	0.400	14.00	100	0.75000	40	7.00	1200	58.10	34.90	0.00	0.0	2.50	1.00	40.0	35	100.000	100	BAND
19900625	X116	WARDS	36058	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	MOTTER94	824	6	TABLOID	CANADIAN	1911	50.0	58	0.300	16.00	NA	0.87500	24	0.00	2200	58.80	41.20	0.00	0.0	1.20	0.60	30.0	42	93.750	100	NOBAND
19900625	M45	OLDVILLAGESHOP	34092	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	9	CATALOG	NA	1910	65.0	58	0.400	15.00	74	0.62500	32	0.00	1800	57.50	42.50	1.00	0.0	2.50	1.00	38.0	37	103.200	100	BAND
19900625	X273	WARDS	36058	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	MOTTER94	824	2	TABLOID	CANADIAN	1911	50.0	58	0.333	15.50	75	0.81250	24	0.00	2200	58.80	41.20	0.00	0.0	1.50	0.60	30.0	42	100.000	100	NOBAND
19900702	J6	YIELDHOUSE	34367	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NORTHUS	1911	62.5	47	0.167	17.00	75	0.75000	30	14.30	1700	47.60	38.10	0.00	0.0	3.00	0.50	40.0	40	96.900	100	BAND
19900706	X135	AMES	34583	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1911	40.0	47	0.200	15.00	75	0.75000	25	0.00	2100	61.10	38.90	0.00	0.0	2.40	1.10	33.0	40	96.900	100	NOBAND
19900705	X151	TVGUIDE	25428	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	1911	45.0	47	0.200	14.00	80	0.75000	20	18.00	1800	45.00	37.00	0.00	0.0	2.50	0.80	40.0	40	96.900	100	NOBAND
19900330	X750	GUIDEPOSTS	23040	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NA	NA	50.0	59	0.333	14.50	71	0.62500	20	11.10	1650	55.50	33.30	0.00	0.0	2.50	1.00	40.0	NA	NA	100	BAND
19900707	T245	MASSEY	36784	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1910	60.0	58	0.333	15.10	93	1.00000	25	0.00	1650	56.10	33.90	0.00	0.0	2.50	1.00	40.0	35	100.000	100	BAND
19900708	F374	MASSEY	36784	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	2	CATALOG	NORTHUS	1910	50.0	58	0.367	13.50	100	0.75000	35	0.00	1750	55.50	44.50	3.00	0.0	2.70	0.50	40.0	35	100.000	100	BAND
19900710	B181	MODMAT	47104	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NORTHUS	1910	40.0	56	0.300	16.50	80	NA	45	20.30	1400	44.20	35.50	0.00	0.0	3.00	0.60	40.0	35	100.000	100	NOBAND
19900710	M332	MODMAT	47104	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NORTHUS	1911	30.0	56	0.433	16.00	70	NA	60	21.80	1400	45.40	32.80	0.00	0.0	3.00	0.90	40.0	40	96.800	100	NOBAND
19900710	T234	MASSEY	36784	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	WOODHOE70	815	9	CATALOG	NORTHUS	1910	37.5	56	0.300	14.00	82	0.62500	28	0.00	1700	58.80	41.20	2.00	0.0	2.50	0.50	40.0	35	100.000	100	NOBAND
19900710	M39	MODMAT	47104	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	MOTTER70	813	5	CATALOG	NORTHUS	1911	50.0	56	0.333	14.60	74	0.75000	NA	7.50	1400	53.80	38.70	0.00	4.0	2.40	0.80	40.0	40	96.800	100	NOBAND
19900710	F450	MODMAT	47104	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	MOTTER70	813	1	CATALOG	NORTHUS	1911	57.5	56	0.500	13.80	73	0.75000	NA	4.40	1400	52.70	42.90	0.00	0.0	2.00	0.50	40.0	40	96.800	100	NOBAND
19900706	X281	AMES	34583	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1911	45.0	55	0.200	14.00	73	0.75000	30	0.00	2100	61.10	38.90	0.00	0.0	2.50	0.80	33.0	40	96.800	100	BAND
19900710	X346	HILLS	34714	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1911	30.0	56	0.200	14.70	87	0.87500	20	0.00	2150	58.80	41.20	12.00	0.0	1.50	0.60	30.0	40	96.800	100	NOBAND
19900710	X235	HILLS	34714	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	40.0	56	0.333	15.30	86	0.81250	32	0.00	2150	58.80	41.20	12.00	0.0	2.20	0.80	30.0	35	100.000	100	NOBAND
19900710	B125	MODMAT	47104	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	10	CATALOG	NORTHUS	1911	55.0	56	0.400	15.00	87	0.75000	NA	0.00	1250	62.50	37.50	0.00	0.0	2.50	1.00	40.0	40	96.800	100	NOBAND
19900710	T280	MODMAT	47104	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	9	CATALOG	NORTHUS	1911	55.0	56	0.400	15.00	93	0.75000	NA	0.00	1250	62.50	37.50	0.00	0.0	2.50	1.00	40.0	40	96.800	100	NOBAND
19900726	T8	REI	36644	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	NO	WOODHOE70	816	2	CATALOG	NORTHUS	1911	60.0	56	0.300	16.00	87	0.62500	26	10.50	1450	50.50	39.00	3.00	0.0	3.00	1.30	40.0	40	93.750	100	BAND
19900727	F257	REI	36644	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	60.0	53	0.300	18.00	103	0.62500	50	22.10	1600	41.00	36.90	0.00	0.0	3.00	0.70	40.0	35	105.200	100	NOBAND
19900726	F261	REI	36644	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	57.5	53	0.367	14.50	70	0.62500	58	20.20	1600	42.00	37.80	3.00	0.0	3.00	1.00	40.0	35	105.200	100	NOBAND
19900723	F264	USCAV	35683	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1911	62.5	61	0.300	14.00	85	0.75000	50	3.50	1660	56.80	39.70	2.00	0.0	3.00	1.00	32.0	40	93.750	100	NOBAND
19900723	F294	USCAV	35683	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	65.0	61	0.367	14.80	80	0.37500	45	19.50	1660	42.40	38.10	0.00	0.0	3.00	1.00	32.0	35	105.200	100	NOBAND
19900723	X232	ECKERDS	34685	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	CANADIAN	1911	50.0	61	0.267	14.20	88	1.00000	29	0.00	2350	52.60	47.40	NA	0.0	2.50	1.10	30.0	40	93.750	100	NOBAND
19900723	X750	ECKERDS	34685	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	10	TABLOID	CANADIAN	1910	50.0	61	0.333	13.00	72	1.00000	41	0.00	2350	58.80	41.20	NA	0.0	2.00	1.00	30.0	35	105.200	100	NOBAND
19900723	X351	ROSES	34894	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	821	2	TABLOID	CANADIAN	1910	45.0	61	0.400	14.00	78	0.75000	20	25.60	2100	42.70	31.70	0.00	0.0	2.50	0.80	30.0	35	105.200	100	NOBAND
19900723	X25	ROSES	34894	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	CANADIAN	1910	50.0	61	0.333	13.10	70	0.75000	25	21.70	2100	41.70	36.60	5.00	0.0	2.50	0.80	30.0	35	105.200	100	NOBAND
19900620	O7	TARGET	34547	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	MOTTER94	827	2	SPIEGEL	CANADIAN	1910	32.5	54	0.267	15.50	78	1.00000	25	0.00	1900	58.80	41.20	10.00	0.0	2.50	0.50	30.0	35	93.300	100	NOBAND
19900620	O15	TARGET	34547	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	MOTTER94	827	9	SPIEGEL	CANADIAN	1910	32.5	54	0.500	15.50	78	1.00000	25	0.00	1900	58.80	41.20	10.00	0.0	1.40	0.80	30.0	35	103.200	100	NOBAND
19900719	X753	WARDS	36066	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1911	40.0	54	0.200	15.00	72	0.75000	35	0.00	2500	58.50	41.50	0.00	0.0	2.10	1.10	30.0	40	100.000	100	NOBAND
19900719	X823	WARDS	36066	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1911	40.0	54	0.367	15.00	78	0.75000	20	0.00	2500	61.10	38.90	0.00	0.0	2.50	0.70	30.0	40	100.000	100	NOBAND
19900718	X60	WARDS	36066	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1910	45.0	54	0.200	15.00	80	0.81250	20	0.00	2000	58.80	41.20	0.00	0.0	1.50	0.60	33.0	35	111.100	100	NOBAND
19900806	J40	WALMART	34493	NA	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	TABLOID	NA	1910	NA	51	0.167	16.00	75	0.50000	30	0.00	1800	58.80	41.20	0.00	0.0	2.10	1.00	30.0	35	100.000	100	BAND
19900730	X153	ROSES	34896	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	NORTHUS	1910	40.0	54	0.400	15.20	88	0.87500	NA	5.90	2300	49.50	44.60	8.00	0.0	2.50	1.00	33.0	35	111.100	100	NOBAND
19900730	X272	ROSES	34896	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	NORTHUS	1910	40.0	54	0.333	14.70	90	0.87500	NA	0.00	2300	52.60	47.40	4.00	0.0	3.00	1.10	33.0	35	111.100	100	NOBAND
19900730	F131	DOWNS	23050	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NORTHUS	1910	57.5	54	0.367	16.20	79	0.50000	23	19.00	1500	47.60	33.40	5.00	0.0	3.00	1.00	32.0	35	93.300	100	NOBAND
19900727	F76	REI	36644	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	60.0	53	0.333	16.50	88	0.75000	55	22.10	1550	41.00	36.90	0.00	0.0	3.00	0.80	40.0	35	105.100	100	NOBAND
19900730	F383	DOWNS	23050	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	CATALOG	NORTHUS	1910	55.0	54	0.300	15.80	79	0.50000	30	12.40	1500	51.50	36.10	0.00	0.0	3.00	0.50	32.0	35	93.300	100	NOBAND
19900727	F374	REI	36644	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	60.0	53	0.300	14.70	70	0.75000	50	20.20	1550	42.00	37.80	3.00	0.0	3.00	1.00	40.0	35	111.100	100	NOBAND
19900801	J15	WARDS	36882	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	CANADIAN	1910	45.0	53	0.300	15.20	78	1.00000	NA	13.30	2150	51.00	35.70	2.00	0.0	2.50	1.10	30.0	35	111.100	100	NOBAND
19900811	J38	WARDS	36882	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	CANADIAN	1910	35.0	53	0.267	14.70	80	1.00000	NA	5.50	2150	55.60	38.90	0.00	0.0	2.50	0.40	30.0	35	111.100	100	NOBAND
19900804	J60	WALMART	34483	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1910	35.0	55	0.500	15.00	70	0.50000	32	0.00	1950	58.80	41.20	0.00	0.0	2.50	1.30	30.0	35	100.000	100	BAND
19900805	J60	WALMART	34493	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	816	2	TABLOID	NA	1910	35.0	55	0.233	15.00	70	0.50000	35	0.00	2000	58.80	41.20	0.00	0.0	2.50	1.50	30.0	35	100.000	100	BAND
19900811	J40	WALMART	34493	NA	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	TABLOID	NORTHUS	1910	NA	54	0.333	17.00	94	0.25000	26	0.00	1900	56.80	43.20	0.00	0.0	2.50	0.90	30.0	35	100.000	100	NOBAND
19900811	J45	WALMART	34493	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	2	TABLOID	NORTHUS	1911	NA	54	0.200	14.00	80	0.31250	34	3.40	1900	56.80	39.80	0.00	0.0	2.50	1.30	30.0	40	106.700	100	NOBAND
19900807	X315	AMES	34585	NO	KEY	YES	NA	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	CANADIAN	1910	30.0	50	0.200	15.60	84	1.00000	NA	0.00	2400	58.80	41.20	4.00	0.0	2.50	0.90	33.0	35	96.800	100	NOBAND
19900807	X766	AMES	34585	NO	KEY	YES	NA	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	CANADIAN	1910	30.0	50	0.333	15.80	92	1.00000	NA	0.00	2400	58.50	41.20	2.00	0.0	3.00	1.40	33.0	35	96.800	100	NOBAND
19900810	W717	SHEPLERS	36776	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	ALBERT70	802	7	CATALOG	NORTHUS	1910	45.0	50	0.200	14.50	70	0.75000	42	5.30	1700	52.60	42.10	0.00	0.0	3.00	0.80	40.0	45	100.000	100	NOBAND
19900810	W516	SHEPLERS	36776	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	ALBERT70	802	2	SPIEGEL	NORTHUS	1910	40.0	50	0.267	13.50	75	0.75000	45	0.00	1700	58.80	41.20	0.00	0.0	3.00	0.60	40.0	35	100.000	100	NOBAND
19900809	X35	TVGUIDE	25433	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	50.0	50	0.200	16.20	75	0.75000	25	3.30	1850	54.90	41.80	2.00	0.0	2.70	0.90	40.0	35	100.000	100	NOBAND
19900813	F633	DUNNS	38016	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	MIDEUROPEAN	1910	45.0	54	0.333	14.80	70	0.75000	50	13.00	1420	54.30	32.60	0.00	0.0	3.00	0.90	28.0	35	106.900	100	NOBAND
19900813	M200	DUNNS	38016	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	MIDEUROPEAN	1910	45.0	54	0.233	14.30	67	0.75000	45	12.30	1420	51.50	36.10	0.00	0.0	3.00	0.60	28.0	35	106.900	100	NOBAND
19900812	R15	TARGET	34549	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	2	SPIEGEL	CANADIAN	1911	45.0	54	0.267	14.00	90	0.75000	30	0.00	2000	58.80	41.20	0.00	0.0	3.00	1.00	33.0	40	103.300	100	NOBAND
19900812	X65	MERVYNS	34175	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NA	1910	30.0	54	0.233	15.80	68	0.75000	25	6.40	2000	53.20	40.40	4.00	0.0	2.30	0.80	35.0	35	106.900	100	NOBAND
19900813	X333	WALMART	34493	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	NA	1910	30.0	54	0.500	13.60	70	0.81250	30	0.00	2000	58.80	41.20	0.00	0.0	2.30	0.90	30.0	35	100.000	100	NOBAND
19900812	X282	MERVYNS	34175	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1910	30.0	54	0.333	16.80	71	0.75000	25	18.00	2000	45.00	36.90	0.00	0.0	2.50	0.90	35.0	35	106.900	100	NOBAND
19900813	X184	WALMART	34493	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	NA	1910	30.0	54	0.167	14.60	70	0.81250	30	0.00	2000	58.80	41.20	0.00	0.0	1.50	0.60	30.0	35	106.900	100	NOBAND
19900814	R22	TARGET	34549	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	CANADIAN	1910	45.0	54	0.167	18.00	90	0.50000	26	8.30	1875	52.10	39.60	0.00	0.0	3.00	1.00	33.0	35	106.900	100	NOBAND
19900812	R23	TARGET	34549	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	SPIEGEL	CANADIAN	1910	45.0	54	0.367	15.00	100	0.75000	33	2.30	2000	56.80	40.90	0.00	0.0	2.75	0.90	33.0	35	106.900	100	NOBAND
19900819	F236	DUNNS	38016	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NA	1910	45.0	56	0.300	15.50	78	0.75000	NA	11.10	1350	55.50	33.30	0.00	0.0	2.20	0.90	28.0	35	100.000	100	NOBAND
19900819	F38	DUNNS	38016	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NA	1911	45.0	56	0.233	16.00	64	0.75000	NA	11.10	1350	55.50	33.30	0.00	0.0	2.50	0.50	28.0	40	103.300	100	NOBAND
19900818	X91	LAZARUS	34154	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	NA	1910	45.0	56	0.333	14.90	85	1.00000	30	17.30	1600	48.10	34.60	0.00	0.0	2.80	1.00	40.0	35	100.000	100	NOBAND
19900818	X132	LAZARUS	34154	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	828	10	TABLOID	CANADIAN	1910	30.0	56	0.367	14.70	83	1.00000	30	10.80	1600	53.80	35.50	0.00	6.0	2.60	1.20	40.0	35	100.000	100	NOBAND
19900820	X377	AMES	34585	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	CANADIAN	1910	57.5	57	0.367	15.30	84	1.00000	30	19.00	2400	47.60	33.30	0.00	0.0	3.00	1.00	33.0	40	93.750	100	NOBAND
19900820	X129	AMES	34585	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	10	TABLOID	CANADIAN	1910	57.5	57	NA	14.20	78	1.00000	30	10.50	2400	52.60	36.80	0.00	0.0	2.50	1.00	33.0	40	93.750	100	NOBAND
19900830	T204	GALLS	38061	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	NA	WOODHOE70	815	1	SPIEGEL	NORTHUS	1911	47.5	49	0.367	15.00	84	0.75000	28	2.20	1600	54.30	43.50	0.00	0.0	3.00	0.90	34.0	30	108.100	100	BAND
19900831	X197	TVGUIDE	25437	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1911	57.5	51	0.333	15.20	70	0.62500	25	11.10	1850	50.50	38.40	3.00	0.0	2.50	0.80	34.0	30	100.000	100	NOBAND
19900831	X138	TVGUIDE	25437	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	2	TABLOID	NORTHUS	1911	57.5	51	0.267	15.60	81	0.75000	25	9.80	1850	49.00	41.20	0.00	0.0	2.70	0.60	34.0	30	100.000	100	NOBAND
19900825	X727	AMES	38013	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	NA	1910	40.0	55	0.533	15.40	80	0.81250	30	10.20	2400	51.00	38.80	0.00	0.0	1.70	0.70	30.0	45	93.750	100	NOBAND
19900825	X60	AMES	38013	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	NA	1910	45.0	55	0.300	16.10	82	0.75000	30	0.00	2400	58.80	41.20	0.00	0.0	2.00	0.80	30.0	45	93.750	100	NOBAND
19900824	F192	COMPETITIVEDGE	34399	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1911	40.0	54	0.300	15.00	70	NA	NA	10.00	NA	50.00	40.00	0.00	0.0	2.50	0.80	60.0	30	100.000	100	NOBAND
19900824	M254	COMPETITIVEDGE	34399	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1910	42.5	54	0.300	15.00	70	NA	NA	13.40	1500	48.10	38.50	2.00	0.0	2.50	1.00	60.0	45	93.750	100	NOBAND
19900821	I353	AUSTADS	34066	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	CANADIAN	1910	52.5	55	0.333	14.00	70	0.62500	55	7.90	1600	57.50	34.44	4.00	0.0	3.00	0.80	40.0	45	93.750	100	NOBAND
19900821	I346	AUSTADS	34066	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	CANADIAN	1910	52.5	55	0.433	14.00	80	NA	55	9.90	1600	49.50	40.60	0.00	0.0	3.00	0.50	40.0	45	93.750	100	NOBAND
19900921	R6	TARGET	34551	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	1	SPIEGEL	CANADIAN	1910	35.0	72	0.367	15.20	72	1.00000	36	0.00	2200	65.20	34.80	0.00	0.0	2.50	1.00	30.0	40	93.600	90	BAND
19900921	R6	TARGET	34551	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	1	SPIEGEL	CANADIAN	1910	35.0	56	0.267	15.00	70	1.00000	33	0.00	2350	65.20	34.80	0.00	0.0	2.50	1.00	30.0	40	93.750	90	BAND
19900920	G657	COLORTILE	34749	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	816	2	TABLOID	CANADIAN	NA	NA	46	NA	16.00	72	0.50000	32	0.00	1673	58.80	41.20	0.00	0.0	2.50	1.50	30.0	NA	NA	NA	BAND
19900913	R7	TARGET	34551	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	1	SPIEGEL	CANADIAN	1910	40.0	60	0.200	15.50	73	0.75000	28	0.00	1850	65.20	34.80	0.00	0.0	2.80	1.00	30.0	40	100.000	90	BAND
19900909	F126	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1911	60.0	50	0.233	14.50	70	0.75000	45	15.60	1650	45.80	38.50	2.00	0.0	2.50	1.00	40.0	40	100.000	100	NOBAND
19900909	F159	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	2	CATALOG	NORTHUS	1910	60.0	50	0.267	14.90	88	0.37500	32	10.30	1700	51.50	38.10	5.00	0.0	3.00	1.30	40.0	40	103.300	100	NOBAND
19900909	F337	MODMAT	47103	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	60.0	50	0.300	14.50	60	0.75000	40	19.00	1650	47.60	33.30	0.00	0.0	2.50	1.00	40.0	40	103.300	100	NOBAND
19900909	F679	MODMAT	47105	YES	KEY	YES	UDDEHOLM	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	CATALOG	NORTHUS	1910	65.0	50	0.267	15.00	86	0.25000	28	10.50	1700	52.60	36.80	2.00	0.0	2.50	0.60	40.0	40	103.300	100	NOBAND
19900910	M103	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1911	55.0	47	0.367	13.00	70	NA	NA	14.10	1600	50.50	35.30	0.00	0.0	2.50	0.50	40.0	35	106.250	100	NOBAND
19900910	M309	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1911	65.0	47	0.367	12.00	68	NA	NA	0.00	1600	58.80	41.20	0.00	0.0	2.80	0.80	40.0	35	106.250	100	NOBAND
19900910	T284	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	10	CATALOG	NORTHUS	1911	55.0	47	0.233	15.50	74	NA	NA	0.00	1600	62.50	37.50	0.00	0.0	2.50	1.00	40.0	35	106.250	100	NOBAND
19900910	T333	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER70	813	9	CATALOG	NORTHUS	1910	55.0	47	0.200	14.00	71	NA	NA	0.00	1600	62.50	37.50	0.00	0.0	2.50	0.70	40.0	40	90.300	100	NOBAND
19900915	F679	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	CATALOG	NORTHUS	1910	65.0	60	0.267	14.50	80	0.25000	38	15.80	1900	49.50	34.60	0.00	0.0	2.90	0.70	40.0	40	103.300	100	NOBAND
19900915	F159	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NORTHUS	1910	60.0	60	0.267	14.00	76	0.37500	30	10.30	1900	51.50	38.10	5.00	0.0	2.60	1.10	40.0	40	103.300	100	NOBAND
19900924	R6	TARGET	34551	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	1	SPIEGEL	CANADIAN	1910	40.0	49	0.267	14.00	82	0.62500	30	0.00	2150	65.20	34.80	1.00	0.0	2.50	0.90	30.0	40	93.750	90	BAND
19901002	G55	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	WOODHOE70	815	1	TABLOID	NORTHUS	1910	55.0	50	0.133	14.00	80	0.62500	32	8.00	2000	60.00	32.00	0.00	0.0	2.50	0.90	35.0	40	93.550	90	BAND
19901002	G55	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	1	TABLOID	NORTHUS	1910	55.0	48	0.367	14.50	76	0.50000	30	8.00	2000	60.00	32.00	0.00	0.0	2.50	1.00	35.0	40	93.550	90	BAND
19901003	X753	TVGUIDE	25441	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1910	55.0	50	0.267	17.00	89	1.00000	22	10.40	1650	52.10	37.50	0.75	0.0	2.50	1.10	34.0	40	93.550	90	BAND
19901002	G150	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	MIDEUROPEAN	1911	55.0	50	0.200	17.00	78	0.25000	32	9.70	1900	52.20	38.10	0.00	0.0	3.00	0.90	35.0	40	96.970	90	BAND
19901001	X271	TOYSRUS	34754	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	42.5	48	0.200	16.00	70	0.81250	35	0.00	2050	66.70	33.30	2.00	0.0	1.70	1.00	30.0	40	93.550	90	NOBAND
19901001	X251	TOYSRUS	34754	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	9	TABLOID	CANADIAN	1910	42.5	48	0.200	15.00	76	0.87500	30	3.60	2050	60.20	36.20	0.00	0.0	2.50	1.00	30.0	40	93.550	90	NOBAND
19900926	X326	WALMART	36578	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	827	9	TABLOID	MIDEUROPEAN	1911	35.0	48	0.233	14.50	76	0.75000	20	0.00	2225	62.50	37.50	4.00	0.0	2.70	1.20	33.0	40	106.250	90	NOBAND
19900926	X206	WALMART	36578	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	827	2	TABLOID	MIDEUROPEAN	1911	35.0	48	0.300	14.50	74	0.75000	20	0.00	2225	62.50	37.50	4.00	0.0	2.00	1.20	33.0	40	106.250	90	NOBAND
19900926	R9	TARGET	34551	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	SPIEGEL	CANADIAN	1910	30.0	48	0.233	15.00	88	0.75000	35	7.70	NA	57.70	34.60	0.00	0.0	2.80	0.80	30.0	40	100.000	90	NOBAND
19900926	X820	TVGUIDE	25440	YES	KEY	YES	NA	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	2	TABLOID	NORTHUS	1911	47.5	49	0.433	14.50	88	0.62500	25	34.50	2000	43.50	22.00	0.00	0.0	2.50	0.70	40.0	40	96.970	90	NOBAND
19900924	F337	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	1	CATALOG	NORTHUS	1911	60.0	48	0.367	14.00	76	1.00000	NA	5.60	1600	55.60	38.80	0.00	0.0	2.50	0.70	40.0	40	96.970	90	NOBAND
19900924	F126	MODMAT	47105	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER70	813	5	CATALOG	NORTHUS	1911	60.0	48	0.400	16.00	72	1.00000	NA	15.20	1600	44.60	40.20	0.00	4.0	2.10	0.70	40.0	40	96.970	90	NOBAND
19901006	G71	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	TABLOID	NORTHUS	1911	47.5	52	0.300	15.20	76	0.75000	30	17.50	1700	48.70	33.80	0.00	0.0	2.50	0.80	35.0	40	114.300	100	BAND
19901007	M74	CASLIVING	38059	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NORTHUS	1911	42.5	52	0.333	16.80	80	0.62500	40	0.00	1700	54.30	45.70	3.00	0.0	3.00	1.00	34.0	40	107.400	100	NOBAND
19901007	G67	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	MIDEUROPEAN	1911	47.5	53	0.300	15.00	72	0.75000	25	22.00	1500	45.90	32.10	0.00	0.0	2.50	0.80	35.0	40	114.300	100	BAND
19901004	G84	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	MIDEUROPEAN	1911	47.5	58	0.333	14.00	85	0.75000	28	16.50	1800	48.50	35.00	0.00	0.0	2.50	0.50	35.0	40	114.300	100	BAND
19901001	G150	KMART	36197	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	MIDEUROPEAN	1910	55.0	48	0.233	18.00	76	0.25000	24	10.00	1600	60.00	30.00	0.00	0.0	3.00	0.90	35.0	40	93.550	90	BAND
19901005	X828	BRENDLS	38218	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	CANADIAN	1911	30.0	52	0.333	16.50	80	0.62500	40	0.00	1800	58.10	41.90	1.00	0.0	2.50	0.40	35.0	40	107.400	100	BAND
19901007	M65	CASLIVING	38059	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	42.5	52	0.233	18.00	70	0.62500	45	0.00	1700	58.80	41.20	0.00	0.0	3.00	0.70	34.0	40	103.125	100	NOBAND
19901010	X367	TVGUIDE	25443	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1911	47.5	54	0.300	14.00	65	0.62500	25	16.10	1500	44.60	39.30	4.00	0.0	2.50	1.00	34.0	40	114.290	100	BAND
19901017	T178	SERVMERCH	38240	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	ALBERT70	802	7	CATALOG	MIDEUROPEAN	1911	60.0	46	0.333	NA	80	0.62500	50	12.40	1391	51.50	36.10	2.00	0.0	2.70	1.00	38.5	40	114.290	100	NOBAND
19901017	T200	SERVMERCH	38240	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	XYLOL	YES	ALBERT70	802	2	CATALOG	MIDEUROPEAN	1911	60.0	46	0.333	NA	70	0.62500	50	19.00	1391	47.60	33.30	0.00	0.0	2.70	0.70	38.5	40	114.290	100	NOBAND
19901010	R34	TARGET	34522	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	NORTHUS	1911	35.0	50	0.300	14.00	74	0.25000	28	0.00	2500	58.80	41.20	0.00	0.0	2.50	0.70	30.0	40	114.290	100	NOBAND
19901010	R15	TARGET	34522	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	NORTHUS	1911	40.0	50	0.300	13.00	74	0.25000	25	0.00	2500	58.80	41.20	2.00	0.0	2.50	0.50	30.0	40	114.290	100	NOBAND
19901008	X420	AMES	34587	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	827	2	TABLOID	CANADIAN	1911	30.0	53	0.333	14.00	85	0.75000	30	15.00	2290	50.00	35.00	0.00	0.0	2.00	1.50	33.0	40	110.700	100	NOBAND
19901008	X389	AMES	34587	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	827	9	TABLOID	CANADIAN	1911	30.0	53	0.300	15.00	80	0.75000	30	15.00	2290	50.00	35.00	0.00	0.0	2.50	1.00	33.0	40	110.700	100	NOBAND
19901014	X37	TOYSRUS	34756	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1911	30.0	54	0.333	16.30	80	0.81250	30	0.00	2100	60.00	40.00	3.00	0.0	2.50	1.20	30.0	40	114.290	100	NOBAND
19901014	X771	TOYSRUS	34756	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	CANADIAN	1911	30.0	54	NA	14.90	72	1.25000	30	3.60	2100	60.20	36.10	1.50	0.0	2.50	1.20	30.0	40	114.290	100	NOBAND
19901027	G465	WOOLWRTH	34996	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	1910	35.0	43	0.367	13.00	75	0.75000	NA	0.00	2000	62.50	37.50	0.00	0.0	2.50	1.10	30.0	40	100.000	100	BAND
19901101	X185	TVGUIDE	25445	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	52.5	43	0.267	15.00	71	0.75000	28	7.40	1500	53.20	39.40	0.00	0.0	2.50	1.00	34.0	40	98.300	100	BAND
19901102	X199	KMART	36165	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	NORTHUS	1910	65.0	43	0.200	16.00	78	0.75000	30	12.00	2100	46.30	41.70	0.00	0.0	2.00	1.00	40.0	40	100.000	100	BAND
19901031	X251	KMART	36165	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	828	9	TABLOID	NORTHUS	1910	65.0	42	0.233	17.50	100	1.12500	25	17.50	2250	48.50	34.00	0.00	0.0	2.50	1.00	40.0	40	100.000	100	NOBAND
19901031	X199	KMART	36165	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	NORTHUS	1910	65.0	42	0.200	17.00	80	1.00000	22	15.00	2250	50.00	35.00	1.00	0.0	2.50	1.00	40.0	40	100.000	100	NOBAND
19901102	G519	AMES	34588	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	CANADIAN	1910	37.5	43	0.200	16.00	76	0.93750	NA	0.00	2180	62.50	37.50	2.00	0.0	2.90	1.20	33.0	40	96.770	100	BAND
19901023	G459	WARDS	36059	NA	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	NA	NA	42	NA	16.10	73	0.62500	30	0.00	2000	61.90	38.10	0.00	0.0	2.80	1.00	30.0	NA	NA	NA	BAND
19901027	G465	WOOLWORTH	34996	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	1910	35.0	43	0.367	13.00	75	0.75000	NA	0.00	2000	62.50	37.50	0.00	0.0	2.50	1.10	30.0	40	100.000	100	BAND
19901030	G3	WOOLWORTH	34996	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	1910	35.0	42	0.300	15.90	78	0.37500	32	0.00	2150	62.50	37.50	0.00	0.0	1.70	0.90	30.0	40	101.670	100	BAND
19901031	G98	AMES	34588	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	2	TABLOID	CANADIAN	1910	40.0	43	0.233	15.50	85	0.75000	25	4.70	2000	58.10	37.20	0.00	0.0	2.50	1.00	33.0	40	96.770	100	BAND
19901102	G625	AMES	34588	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1910	40.0	43	0.267	17.20	78	0.93750	NA	1.00	2180	58.30	40.70	2.00	0.0	2.40	0.80	33.0	40	96.770	100	BAND
19901107	X129	TVGUIDE	25466	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	50.0	43	0.267	17.00	72	0.62500	30	14.30	1600	47.60	38.10	0.00	0.0	2.50	1.00	34.0	40	96.770	100	BAND
19901114	X243	TVGUIDE	25477	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1911	50.0	42	0.200	17.00	73	0.43750	20	18.50	1800	46.30	35.10	2.00	0.0	2.50	1.00	34.0	40	100.000	100	BAND
19901108	T281	MODMAT	47106	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	CANADIAN	1910	40.0	43	0.200	13.50	76	0.75000	52	4.40	1726	55.00	40.60	0.00	0.0	3.00	1.00	40.0	40	96.770	100	NOBAND
19901105	G81	HILLS	34716	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NORTHUS	1910	40.0	43	0.267	16.40	79	0.31250	35	0.50	2400	59.50	40.00	0.50	0.0	2.60	1.10	35.0	40	96.770	100	NOBAND
19901109	G81	HILLS	34716	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	WOODHOE70	816	9	TABLOID	NORTHUS	1910	40.0	51	0.233	15.00	70	0.25000	24	0.50	0	59.50	40.00	0.00	0.0	3.00	1.00	35.0	40	100.000	100	BAND
19901108	G462	WOOLWORTH	34997	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	1	TABLOID	CANADIAN	1910	32.5	43	0.200	13.00	80	0.75000	28	0.00	1500	62.50	37.50	0.00	0.0	0.00	0.00	30.0	40	100.000	100	BAND
19901105	G108	HILLS	34716	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NORTHUS	1910	40.0	43	0.233	15.60	81	0.50000	34	0.00	2400	62.50	37.50	5.00	0.0	NA	0.90	35.0	40	96.770	100	NOBAND
19901107	G640	HILLS	34716	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	7	TABLOID	NORTHUS	1910	37.5	43	0.200	15.80	80	0.50000	32	0.00	2400	62.50	37.50	5.00	0.0	2.50	0.90	35.0	40	96.770	100	NOBAND
19901105	O28	TARGET	34553	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	SPIEGEL	CANADIAN	1910	45.0	42	0.267	14.90	75	1.00000	25	10.50	1660	52.60	36.90	0.00	0.0	2.50	1.00	30.0	40	101.670	100	NOBAND
19901105	O21	TARGET	34553	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	SPIEGEL	CANADIAN	1910	45.0	42	0.200	14.00	80	NA	20	7.60	NA	54.30	38.10	0.00	0.0	NA	NA	30.0	40	101.670	100	NOBAND
19901107	X127	KMART	36166	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	MOTTER94	828	2	TABLOID	NORTHUS	1910	45.0	43	0.200	16.00	80	0.75000	30	3.10	2200	51.00	45.90	0.00	0.0	2.50	1.30	35.0	40	103.330	100	NOBAND
19901107	X374	KMART	36166	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	MOTTER94	828	9	TABLOID	NORTHUS	1910	50.0	43	0.200	15.50	72	0.75000	30	5.10	2200	50.60	44.30	0.00	0.0	2.50	1.30	35.0	40	96.770	100	NOBAND
19901106	F601	MODMAT	47106	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	40.0	45	0.233	13.60	90	0.75000	45	0.00	1386	62.50	37.50	0.00	0.0	3.00	0.70	40.0	40	96.770	100	BAND
19901113	F601	MODMAT	47106	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	40.0	42	0.200	15.00	65	0.75000	55	0.00	1650	62.50	37.50	0.00	0.0	2.50	1.00	40.0	40	96.770	100	BAND
19901117	X795	BRENDLS	34442	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	7	TABLOID	NORTHUS	1910	50.0	43	0.267	14.00	74	0.62500	20	2.20	1800	56.20	41.60	0.00	0.0	3.00	1.00	38.0	40	96.875	100	BAND
19901114	G604	WOOLWORTH	34997	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	CANADIAN	1910	50.0	47	0.200	16.20	74	0.75000	28	10.80	2000	53.40	35.80	0.00	0.0	2.50	1.30	30.0	40	100.000	100	BAND
19901115	G5	WOOLWORTH	34997	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1910	50.0	47	0.267	16.00	92	0.75000	35	0.00	1800	68.00	32.00	1.00	0.0	2.60	1.20	30.0	40	100.000	100	BAND
19901125	W357	TOYSRUS	34759	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	1	SPIEGEL	CANADIAN	1910	32.5	47	0.267	16.10	88	0.31250	28	0.00	2189	62.50	37.50	0.00	0.0	2.40	0.80	30.0	40	100.000	100	NOBAND
19901125	W364	TOYSRUS	34759	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	CANADIAN	1910	32.5	47	0.200	20.00	79	0.31250	29	0.00	2189	58.10	41.90	5.00	0.0	2.50	1.25	30.0	40	100.000	100	NOBAND
19901119	G60	JCP	34781	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NORTHUS	1910	70.0	43	0.300	18.10	78	0.50000	28	14.40	2125	48.10	37.50	5.00	0.0	3.00	0.90	33.0	40	100.000	100	NOBAND
19901119	G412	JCP	34781	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NORTHUS	1910	70.0	43	0.233	16.00	77	0.81750	28	15.90	2125	46.50	37.60	3.00	0.0	1.75	0.60	33.0	40	100.000	100	NOBAND
19901125	W406	TOYSRUS	34759	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	CANADIAN	1910	40.0	47	0.200	16.53	78	0.81250	24	0.00	2189	58.80	41.20	0.00	0.0	2.00	0.80	30.0	40	100.000	100	NOBAND
19901116	G628	WOOLWORTH	34997	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	CANADIAN	1910	32.5	45	0.233	14.00	94	0.62500	25	0.00	1800	66.70	33.30	0.00	0.0	2.10	1.00	30.0	40	100.000	100	BAND
19901124	W395	TOYSRUS	34259	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	1	SPIEGEL	CANADIAN	1911	40.0	47	0.267	15.00	88	0.50000	34	0.00	1700	62.50	37.50	0.00	0.0	0.00	0.00	30.0	40	100.000	100	BAND
19901120	T281	MODMAT	47106	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NORTHUS	1911	40.0	46	0.300	15.00	70	0.75000	50	0.00	1800	53.90	46.10	0.00	0.0	2.50	1.00	40.0	40	100.000	100	BAND
19901121	F601	MODMAT	47106	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1911	40.0	50	0.233	14.00	70	0.75000	45	0.00	1800	60.20	39.80	0.00	0.0	2.50	1.00	40.0	40	100.000	100	BAND
19901114	X760	TVGUIDE	25447	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	MOTTER94	821	2	TABLOID	NORTHUS	1911	45.0	41	0.200	15.00	78	0.75000	20	14.60	1800	48.50	36.90	0.00	0.0	2.50	1.00	34.0	40	100.000	100	NOBAND
19901115	O1	TARGET	34554	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	2	SPIEGEL	NORTHUS	1910	45.0	42	0.200	14.00	75	1.00000	20	11.20	1800	51.00	37.80	8.00	0.0	2.50	1.00	35.0	40	100.000	100	NOBAND
19901115	O14	TARGET	34554	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	827	9	SPIEGEL	NORTHUS	1911	45.0	42	0.333	14.00	75	1.00000	20	0.00	1800	58.90	41.10	8.00	0.0	3.00	2.00	35.0	40	100.000	100	NOBAND
19901113	X770	KMART	36167	NO	KEY	NA	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	SCANDANAVIAN	1910	45.0	41	0.333	15.80	78	1.00000	40	0.00	2300	62.50	37.50	4.00	0.0	2.50	1.40	35.0	40	100.000	100	NOBAND
19901113	X766	KMART	36167	NO	KEY	NA	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	SCANDANAVIAN	1910	45.0	41	0.200	14.60	74	1.00000	32	21.00	2300	47.60	31.40	4.00	0.0	2.50	1.10	35.0	40	96.770	100	NOBAND
19901206	X001	TVGUIDE	25450	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	45.0	42	0.400	14.80	72	0.62500	20	0.00	1800	58.80	41.20	0.00	0.0	2.50	0.90	34.0	40	106.250	100	NOBAND
19901206	G81	LURIAS	36805	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	9	TABLOID	MIDEUROPEAN	1910	50.0	42	0.267	16.00	88	0.75000	33	11.50	1650	52.10	36.40	0.00	0.0	2.50	1.00	38.0	40	106.250	100	NOBAND
19901206	G5	LURIAS	36805	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	2	TABLOID	MIDEUROPEAN	1910	50.0	42	0.300	17.00	88	0.75000	30	0.00	1600	62.50	27.50	5.00	0.0	2.60	1.00	38.0	40	106.250	100	BAND
19901206	G5	LURIAS	36805	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	YES	WOODHOE70	815	2	TABLOID	MIDEUROPEAN	1910	50.0	42	0.233	15.00	90	1.00000	35	0.00	1650	55.50	44.50	0.00	0.0	2.50	1.00	38.0	40	100.000	100	BAND
19901206	X019	TVGUIDE	25450	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	NA	50.0	42	0.367	15.50	73	0.62500	20	3.60	1800	60.20	36.20	0.00	0.0	2.50	0.90	34.0	40	106.250	100	NOBAND
19901208	T351	AUSTADS	38120	YES	KEY	YES	NA	GALLATIN	UNCOATED	COVER	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1910	45.0	43	0.300	20.00	84	0.62500	33	NA	1200	NA	NA	0.00	0.0	2.50	0.50	40.0	40	106.250	100	BAND
19901209	X304	ECKERDS	34692	NO	KEY	YES	BENTON	GALLATIN	COATED	UNCOATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	CANADIAN	1910	45.0	42	0.300	15.00	70	0.81250	40	0.00	1500	58.80	41.20	3.00	0.0	2.00	1.00	30.0	40	100.000	100	BAND
19901209	W30	SHEPLERS	35001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	NORTHUS	1910	40.0	42	0.200	12.70	84	0.50000	32	0.00	1750	62.50	37.50	0.00	0.0	2.50	0.90	40.0	40	100.000	100	NOBAND
19901209	X220	GUIDEPOSTS	23048	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1910	40.0	42	0.333	15.50	64	0.62500	20	10.50	1550	52.60	36.90	0.00	0.0	2.00	0.60	40.0	40	106.250	100	NOBAND
19901209	X809	GUIDEPOSTS	23048	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1910	40.0	42	0.333	16.00	78	0.62500	20	0.00	1550	62.50	37.50	0.00	0.0	2.50	1.00	40.0	40	106.250	100	NOBAND
19901209	M208	ABBEYPRESS	27490	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	32.0	42	0.233	16.00	70	0.62500	46	0.00	1350	60.20	39.80	0.00	0.0	3.00	1.00	34.0	40	100.000	100	NOBAND
19901209	F466	ABBEYPRESS	27490	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	32.0	42	0.233	16.00	70	0.62500	48	0.00	1350	63.90	36.10	0.00	0.0	3.00	1.00	34.0	40	100.000	100	NOBAND
19901219	X295	TVGUIDE	25452	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	67.5	50	0.167	16.50	73	0.87500	20	18.10	1800	47.60	34.30	0.00	0.0	2.50	0.80	34.0	40	110.710	100	BAND
19901222	I010	AUSTADS	38121	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	CANADIAN	1911	45.0	60	0.300	16.00	88	0.75000	33	0.00	1500	56.80	43.20	0.00	0.0	2.90	1.10	40.0	40	103.220	100	BAND
19901209	W785	SHEPLERS	35001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	WOODHOE70	816	2	SPIEGEL	NORTHUS	1910	42.0	42	0.267	14.50	78	1.00000	28	0.00	1800	61.70	38.30	0.00	0.0	2.50	2.00	40.0	40	100.000	100	BAND
19901211	I349	AUSTADS	38121	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	WOODHOE70	815	2	CATALOG	CANADIAN	1910	45.0	40	0.300	16.00	89	0.62500	22	0.00	1300	60.00	40.00	1.00	0.0	2.50	1.00	40.0	40	106.450	100	BAND
19901212	I317	AUSTADS	38121	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	WOODHOE70	815	2	CATALOG	CANADIAN	1910	45.0	42	0.267	14.00	89	0.75000	26	0.00	1450	58.80	41.20	1.00	0.0	2.50	1.00	40.0	40	103.220	100	BAND
19901215	F219	DOWNS	35525	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	9	CATALOG	NORTHUS	1910	40.0	54	0.300	14.80	87	NA	29	0.00	1000	58.80	41.20	0.00	0.0	2.90	1.00	40.0	40	106.450	100	BAND
19901212	I331	AUSTADS	38121	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	9	CATALOG	CANADIAN	1910	45.0	42	0.367	16.00	83	0.62500	30	0.00	1950	58.80	41.20	0.00	0.0	2.50	1.00	40.0	40	106.450	100	BAND
19901215	F121	HANOVERHSE	34099	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NORTHUS	1910	45.0	41	0.267	13.30	70	0.75000	50	0.00	1700	60.20	39.80	0.00	0.0	3.00	0.80	38.0	40	117.850	100	NOBAND
19901215	F133	HANOVERHSE	34099	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NORTHUS	1910	45.0	41	0.267	13.30	70	0.75000	50	0.00	1700	63.90	36.10	0.00	0.0	3.00	0.70	38.0	40	117.850	100	NOBAND
19901209	W30	SHEPLERS	35001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	SPIEGEL	NORTHUS	NA	35.0	42	0.200	15.50	80	1.00000	26	0.00	1800	62.50	37.50	3.00	0.0	2.50	2.00	40.0	40	100.000	100	NOBAND
19901219	X837	TVGUIDE	25452	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	1910	65.0	50	0.200	15.10	75	0.62500	20	19.00	1800	47.60	33.40	0.00	0.0	2.70	0.60	34.0	40	110.710	100	NOBAND
19901212	X819	TVGUIDE	25451	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NORTHUS	1910	55.0	40	0.300	15.10	69	0.62500	20	19.50	1450	44.20	36.30	0.00	0.0	2.50	0.90	34.0	40	106.450	100	NOBAND
19901230	B125	MODMAT	48201	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1911	62.0	52	0.433	15.00	78	0.75000	28	5.90	1400	58.80	35.30	4.00	0.0	2.50	0.80	40.0	40	103.220	100	BAND
19901210	R32	TARGET	34556	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	CANADIAN	1910	37.5	42	0.200	16.00	70	0.37500	28	0.00	2400	58.80	41.20	3.00	0.0	3.00	0.80	30.0	40	106.450	100	BAND
19901215	F372	DOWNS	35525	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1910	40.0	54	0.267	22.20	77	0.62500	32	6.25	1000	56.25	37.50	0.00	0.0	3.00	1.20	40.0	40	106.450	100	BAND
19901212	R1	TARGET	34556	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	CANADIAN	1910	37.5	40	0.200	14.00	80	0.25000	24	0.00	2400	58.80	41.20	2.00	0.0	2.50	0.80	30.0	40	106.450	100	NOBAND
19901218	R3	TARGET	34556	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	CANADIAN	1910	37.5	50	NA	15.50	95	0.62500	26	0.00	2350	62.50	37.50	1.00	0.0	2.60	0.60	30.0	40	106.450	100	NOBAND
19901214	R9	TARGET	34556	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	CANADIAN	1910	37.5	41	NA	15.00	80	0.50000	30	0.00	2398	58.80	41.20	9.00	0.0	2.50	0.70	30.0	40	106.450	100	NOBAND
19901211	X342	AMES	34590	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	9	TABLOID	CANADIAN	1910	50.0	40	0.300	15.00	72	0.75000	30	0.00	2233	58.80	41.20	8.00	0.0	1.50	1.00	33.0	40	106.450	100	NOBAND
19901211	X242	AMES	34590	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	827	2	TABLOID	CANADIAN	1910	50.0	40	0.233	15.00	88	0.75000	30	0.00	2233	58.80	41.20	8.00	0.0	3.00	1.00	33.0	40	106.450	100	NOBAND
19901214	X221	ECKERDS	34693	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	CANADIAN	NA	45.0	41	0.200	16.10	74	1.00000	30	0.00	1800	62.50	37.50	1.00	0.0	2.50	1.20	30.0	40	106.450	100	NOBAND
19901214	X108	ECKERDS	34693	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	CANADIAN	1910	50.0	41	0.200	15.70	80	1.00000	43	0.00	1800	62.50	37.50	1.00	0.0	2.50	1.50	30.0	40	106.450	100	NOBAND
19901218	X80	ECKERDS	34694	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	CANADIAN	1910	30.0	41	0.333	15.50	74	0.81250	30	2.50	1900	58.00	39.50	4.50	0.0	1.90	1.30	30.0	40	114.280	100	NOBAND
19901218	F482	DOWNS	35525	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NORTHUS	1910	40.0	41	0.267	15.50	76	0.75000	28	3.60	1750	60.20	36.10	4.00	0.0	3.00	1.00	40.0	40	117.850	100	NOBAND
19901230	X388	TVGUIDE	25502	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NORTHUS	1911	52.0	52	0.267	16.00	78	0.75000	30	14.10	1250	50.50	53.40	0.00	0.0	3.00	0.90	34.0	40	103.220	100	BAND
19910810	I309	CHILDCRAFT	37001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NA	1911	45.0	62	0.233	15.00	76	0.75000	50	0.00	1500	58.80	41.20	0.00	0.0	3.00	1.20	38.0	40	103.225	100	BAND
19910815	X381	ECKERDS	35462	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	NA	NA	40.0	58	0.200	17.00	75	0.05625	30	0.00	1900	58.80	41.20	0.00	0.0	2.60	1.40	30.0	40	103.225	100	BAND
19910829	I303	CHILDCRAFT	37001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NA	1910	60.0	60	0.233	15.00	80	0.75000	56	14.30	1380	47.60	38.10	0.00	0.0	3.00	1.00	38.0	40	106.400	100	NOBAND
19910712	T368	ABBEY	24780	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	CATALOG	NA	1911	47.5	65	0.200	14.00	80	0.50000	27	11.50	1725	52.10	36.40	3.00	0.0	3.00	0.90	34.0	40	103.125	100	NOBAND
19910804	Y270	KMART	37371	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	WOODHOE70	816	2	TABLOID	NA	1910	40.0	58	0.200	15.50	84	0.37500	25	9.00	2000	52.80	38.20	5.00	0.0	3.00	1.10	35.0	40	103.125	100	NOBAND
19910804	Y228	KMART	37371	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	9	TABLOID	NA	1910	40.0	58	0.267	15.00	80	0.18750	NA	3.20	2000	53.80	43.00	0.00	0.0	2.50	1.00	35.0	40	103.125	100	NOBAND
19910712	M254	ABBEY	24780	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NA	1911	47.5	65	0.200	15.70	87	0.25000	NA	5.60	1725	55.60	38.90	3.00	0.0	3.00	0.85	34.0	40	103.125	100	NOBAND
19910719	R15	TARGET	88231	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	NA	1910	40.0	62	0.200	13.70	91	0.37500	32	5.60	2300	55.60	38.90	2.00	0.0	2.50	1.00	33.0	40	100.000	100	NOBAND
19910719	R43	TARGET	88231	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	NA	1910	40.0	62	0.200	14.90	80	0.50000	28	3.40	2303	56.80	39.80	2.00	0.0	2.50	0.60	33.0	40	100.000	100	NOBAND
19910727	X742	AMES	37182	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1911	45.0	58	0.200	15.00	75	0.62500	20	10.50	2100	52.60	36.80	0.00	0.0	2.50	0.70	33.0	40	103.125	100	NOBAND
19910727	X823	AMES	37182	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1911	45.0	58	0.200	15.00	72	0.62500	25	10.50	2100	52.60	36.80	5.00	0.0	2.50	0.80	33.0	40	103.125	100	NOBAND
19910718	X197	TVGUIDE	25530	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1910	42.0	58	0.233	16.00	78	0.50000	25	0.00	1800	58.80	41.20	5.00	0.0	2.50	1.00	34.0	40	103.125	100	NOBAND
19911124	F25	BESTPROD	37970	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NA	1910	27.5	41	0.267	17.58	80	0.75000	50	3.40	1490	56.80	39.80	0.00	0.0	3.00	1.00	35.0	40	103.125	100	NOBAND
19911124	F169	BESTPROD	37970	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NA	1911	35.0	41	0.267	16.66	78	0.75000	50	7.60	1490	54.30	38.00	0.00	0.0	3.00	1.00	35.0	40	106.700	100	NOBAND
19910829	I325	CHILDCRAFT	37001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NA	1910	60.0	60	0.200	15.00	80	0.75000	50	10.40	1380	47.20	42.50	0.00	0.0	3.00	1.00	38.0	40	106.500	100	NOBAND
19910807	F629	ABBEY	24780	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	ALBERT70	802	2	CATALOG	NA	1910	40.0	60	0.200	15.00	80	0.62500	50	0.00	1400	58.80	41.20	0.00	0.0	3.00	0.60	34.0	40	103.100	100	NOBAND
19910807	F321	ABBEY	24780	NA	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NA	1910	NA	60	0.200	15.00	80	0.62500	50	6.60	1400	54.90	38.50	6.00	0.0	3.00	1.10	34.0	40	103.100	100	NOBAND
19910817	R18	SHEPLERS	35529	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	2	SPIEGEL	NA	1910	45.0	58	0.200	17.00	72	0.75000	NA	3.20	1470	53.80	43.00	0.00	0.0	3.00	1.00	34.0	40	100.000	100	NOBAND
19910903	X408	TOYSRUS	35874	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	2	TABLOID	NA	1910	40.0	62	0.300	16.10	82	0.81200	30	5.70	1800	56.80	37.50	10.00	0.0	0.70	0.50	30.0	40	106.500	100	NOBAND
19910903	X264	TOYSRUS	35874	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	MOTTER94	824	9	TABLOID	NA	1911	40.0	62	0.233	16.10	78	0.56250	25	5.50	1800	55.00	39.50	0.00	0.0	1.60	1.50	30.0	40	103.230	100	NOBAND
19910729	X201	WARDS	37508	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	NA	1910	45.0	57	0.233	15.00	88	0.56250	30	10.40	1900	52.10	37.50	0.00	0.0	2.50	1.80	30.0	40	100.000	100	NOBAND
19910818	X57	WARDS	37513	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	NA	1911	40.0	59	0.300	16.40	85	0.81250	30	0.00	1900	58.80	41.20	10.00	0.0	2.00	0.80	30.0	40	96.880	100	NOBAND
19910730	X799	ROSES	35761	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	2	TABLOID	NA	1910	35.0	59	0.200	16.10	82	NA	28	0.00	2500	58.80	41.20	0.00	0.0	2.50	1.30	30.0	40	100.000	100	NOBAND
19910730	X753	ROSES	35761	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	828	9	TABLOID	NA	1910	35.0	59	0.200	16.10	84	NA	30	0.00	2500	55.00	45.00	0.00	0.0	2.50	1.10	30.0	40	100.000	100	NOBAND
19911211	W90	GURNEY	37018	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	SPIEGEL	NA	1911	42.5	47	0.200	16.20	78	0.75000	30	0.00	2100	56.20	43.80	0.00	0.0	2.50	1.20	33.0	40	110.000	100	BAND
19910809	T365	ADCO	39200	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	815	2	CATALOG	NA	1910	40.0	68	0.200	14.80	90	1.00000	30	0.00	1440	58.80	41.20	0.00	0.0	2.50	1.00	40.0	40	103.130	100	BAND
19910806	Y270	KMART	37371	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1910	40.0	60	0.200	15.00	85	1.00000	25	6.90	2100	54.00	39.10	0.00	0.0	2.50	1.20	35.0	40	103.130	100	BAND
19910924	T117	HANOVERHOUSE	39027	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NA	1911	50.0	65	NA	16.00	80	0.50000	28	12.50	1550	50.00	37.50	0.00	0.0	2.50	1.50	34.0	40	106.450	100	BAND
19910923	T312	HANOVERHOUSE	39027	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	WOODHOE70	816	9	CATALOG	NA	1910	50.0	60	0.267	16.00	78	0.50000	28	4.50	1520	53.00	42.00	0.00	0.0	2.50	1.50	34.0	40	106.200	100	BAND
19910915	G48	AMES	37189	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	2	TABLOID	NA	1910	40.0	63	0.233	15.80	80	0.75000	30	10.50	2000	52.60	36.90	0.00	0.0	3.00	1.00	33.0	40	109.700	100	BAND
19910802	T195	WARDS	37510	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	815	9	CATALOG	NA	1910	40.0	60	0.200	14.50	85	1.00000	35	0.00	1250	58.80	41.20	2.50	0.0	1.50	1.00	30.0	40	100.000	100	BAND
19910719	F601	BESTPROD	37964	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	WOODHOE70	815	2	CATALOG	NA	1910	40.0	69	0.200	14.50	76	0.62500	22	0.00	1250	58.80	41.20	1.00	0.0	2.50	1.00	35.0	40	100.000	100	BAND
19910729	F98	WARDS	37510	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	NO	WOODHOE70	815	2	CATALOG	NA	1910	45.0	61	0.200	14.00	98	0.75000	30	0.00	1600	58.80	41.20	2.00	0.0	2.40	0.90	30.0	40	100.000	100	BAND
19910729	I357	BESTPROD	37965	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	NO	WOODHOE70	816	9	CATALOG	NA	1910	55.0	61	0.283	21.00	78	1.00000	28	0.00	1500	58.80	41.20	3.00	0.0	2.50	0.70	35.0	40	100.000	100	BAND
19911209	W92	GURNEY	37018	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	9	SPIEGEL	NA	1911	42.5	52	0.200	16.00	82	0.75000	30	0.00	2150	58.80	41.20	0.00	0.0	2.50	1.00	33.0	40	110.000	100	BAND
19920105	I365	CHILDCRAFT	34250	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	NO	WOODHOE70	816	2	CATALOG	NA	1911	50.0	47	0.200	15.00	80	0.62500	28	0.00	1750	59.00	41.00	0.00	0.0	1.00	1.00	38.0	40	91.890	100	BAND
19920115	I49	MODMAT	47301	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NA	1910	NA	44	0.200	14.30	78	0.25000	32	0.00	1650	56.80	43.20	3.00	0.0	2.50	2.50	40.0	40	100.000	100	BAND
19920114	I49	MODMAT	47301	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NA	1911	NA	43	0.200	15.20	78	0.75000	32	8.20	1500	51.00	40.80	2.00	0.0	2.70	1.80	40.0	40	106.250	100	BAND
19920110	I49	MODMAT	47301	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NA	1911	55.0	44	0.200	15.00	70	0.62500	28	8.20	1700	51.00	40.80	0.00	0.0	2.50	2.00	40.0	40	100.000	100	BAND
19911104	G634	TOYSRUS	35880	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	CATALOG	NA	1910	40.0	38	NA	16.50	85	0.62500	30	4.30	1900	53.20	42.50	0.00	0.0	3.00	1.00	30.0	40	103.130	100	BAND
19911103	G634	TOYSRUS	35880	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	NA	WOODHOE70	816	2	TABLOID	NA	1910	40.0	40	NA	15.70	85	0.31250	27	4.30	2050	53.20	42.50	1.00	0.0	2.50	1.50	30.0	40	103.130	100	BAND
19911102	G69	TOYSRUS	35880	NO	KEY	NO	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1911	40.0	40	0.300	14.90	75	0.62500	28	4.30	2000	53.20	42.50	4.00	0.0	2.50	1.50	30.0	40	117.860	100	BAND
19911203	X768	TVGUIDE	25550	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1911	40.0	47	0.200	14.50	85	0.75000	25	10.50	1850	52.60	36.90	2.00	0.0	0.00	0.00	34.0	40	110.000	100	BAND
19910920	X13	BURDINES	37068	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1911	40.0	49	0.300	17.00	75	0.62500	30	0.00	1600	58.80	41.20	0.00	0.0	2.50	0.65	33.0	40	109.600	100	BAND
19910822	R30	SHEPLERS	35529	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	SPIEGEL	NA	1911	47.5	58	0.217	13.10	70	NA	55	10.00	1660	50.00	40.00	0.00	0.0	2.90	1.00	34.0	40	96.880	100	BAND
19920220	G407	KIDSRUS	29442	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	COVER	NO	LINE	YES	WOODHOE70	816	2	TABLOID	NA	1910	50.0	40	0.200	15.20	78	1.00000	24	0.00	1850	58.80	41.20	0.00	0.0	2.90	1.10	40.0	40	103.130	100	BAND
19910724	F620	USCAV	35522	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	2	CATALOG	NA	1911	40.0	65	0.200	15.00	80	0.62500	50	10.40	1640	47.20	42.40	1.00	0.0	3.00	1.50	32.0	40	103.130	100	BAND
19910917	X160	COLORTILE	37575	NO	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	2	TABLOID	NA	1910	30.0	NA	0.300	17.00	78	0.81250	30	0.00	1700	58.80	41.20	0.00	0.0	2.50	1.20	30.0	40	106.250	100	BAND
19920205	X7	COLORTILE	34272	YES	KEY	YES	BENTON	GALLATIN	COATED	COATED	NO	LINE	YES	MOTTER94	824	9	TABLOID	NA	1910	30.0	40	0.200	14.00	73	0.56250	30	0.00	1800	58.80	41.20	0.00	0.0	0.00	0.00	30.0	40	100.000	100	BAND
19910810	I324	CHILDCRAFT	37001	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	CATALOG	NA	1911	50.0	62	0.267	11.20	80	NA	50	0.00	1570	58.80	41.20	0.00	0.0	3.00	1.00	38.0	40	103.230	100	BAND
19910817	R6	SHEPLERS	35529	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	ALBERT70	802	7	SPIEGEL	NA	1910	45.0	63	0.267	15.00	80	0.75000	50	0.00	1470	58.80	41.20	2.00	0.0	3.00	1.00	34.0	40	100.000	100	BAND
19910724	M374	USCAV	35522	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	NO	ALBERT70	802	7	CATALOG	NA	1911	37.5	65	0.200	16.00	80	0.62500	50	6.60	1640	54.90	38.50	3.00	0.0	3.00	1.00	32.0	40	103.130	100	BAND
19920208	AA1	KMART	34514	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1910	40.0	39	0.200	15.00	83	0.62500	30	0.00	2000	58.10	41.90	1.00	0.0	2.50	0.60	35.0	40	100.000	100	BAND
19920207	AA17	KMART	34514	NO	KEY	YES	BENTON	GALLATIN	UNCOATED	COATED	NO	LINE	YES	MOTTER94	821	7	TABLOID	NA	1911	40.0	39	0.200	15.00	72	0.37500	30	0.00	2000	58.10	41.90	1.00	0.0	2.50	0.30	35.0	40	109.900	100	BAND
19910730	X139	TVGUIDE	25532	YES	KEY	YES	BENTON	GALLATIN	UNCOATED	UNCOATED	NO	LINE	YES	MOTTER94	821	2	TABLOID	NA	1910	40.0	59	0.250	15.00	80	0.75000	40	13.30	1750	51.00	35.70	0.00	0.0	2.20	0.70	34.0	40	100.000	100	BAND
19920408	T233	BESTPROD	37998	NO	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	NA	WOODHOE70	815	2	NA	NA	1910	30.0	50	0.233	16.10	79	0.62500	25	NA	1400	NA	NA	NA	NA	2.50	1.00	NA	40	106.000	100	BAND
19920402	X216	GUIDEPOSTS	23233	YES	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	YES	MOTTER94	821	7	NA	NA	1911	40.0	40	0.300	14.50	72	0.62500	34	NA	1620	NA	NA	NA	NA	2.50	1.30	NA	40	102.000	100	BAND
19920317	AA43	KMART	34518	NO	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	NO	MOTTER94	821	7	NA	NA	1911	45.0	36	NA	14.00	76	0.62500	20	NA	1700	NA	NA	NA	NA	2.00	0.90	NA	40	100.000	100	BAND
19920402	J29	PENNEY	34014	NO	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	NA	WOODHOE70	816	9	TABLOID	NA	1910	40.0	40	0.300	15.50	75	0.75000	25	NA	1100	NA	NA	NA	NA	2.50	1.00	NA	40	102.941	100	BAND
19920405	X129	WOOLWORTH	34227	NO	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	MOTTER94	824	9	TABLOID	NA	1910	35.0	42	0.200	15.00	78	0.56250	40	NA	1750	NA	NA	NA	NA	2.30	1.00	NA	40	103.000	100	BAND
19920416	G648	ROSES	36423	NO	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	WOODHOE70	815	2	TABLOID	NA	1910	55.0	51	0.250	16.40	78	0.50000	29	NA	1800	NA	NA	NA	NA	1.50	1.00	NA	40	100.000	100	BAND
19920326	X66	ROSES	34294	NO	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	MOTTER94	821	2	TABLOID	NA	1910	35.0	48	0.267	16.00	72	0.75000	20	NA	1650	NA	NA	NA	NA	1.50	1.10	NA	40	83.330	100	BAND
19920320	G38	ROSES	34293	NO	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	WOODHOE70	816	2	TABLOID	NA	1910	47.5	50	0.200	17.00	70	0.50000	30	NA	2000	NA	NA	NA	NA	2.20	0.70	NA	40	103.225	100	BAND
19920515	X13	TOYSRUS	34156	NO	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	MOTTER94	824	10	TABLOID	NA	1911	40.0	52	NA	13.50	85	0.75000	30	NA	1900	NA	NA	NA	NA	0.00	0.00	NA	40	94.400	100	BAND
19920523	O5	TARGET	34453	NO	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	YES	MOTTER94	827	2	SPIEGEL	NA	1911	47.5	53	0.233	17.00	80	0.62500	20	NA	1850	NA	NA	NA	NA	2.00	1.50	NA	40	105.700	100	BAND
19920529	R38	TARGET	34453	NO	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	YES	WOODHOE70	816	9	SPIEGEL	NA	1910	50.0	56	0.300	15.00	80	0.18750	26	NA	1950	NA	NA	NA	NA	2.50	1.50	NA	40	102.857	100	BAND
19920530	X36	CVS	34763	YES	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NO	NA	NA	MOTTER94	824	2	TABLOID	NA	1911	55.0	56	0.300	21.00	80	0.87500	35	NA	1650	NA	NA	NA	NA	2.10	0.60	NA	40	100.000	100	BAND
19920531	X196	CVS	34763	YES	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NO	NA	YES	MOTTER94	824	2	TABLOID	NA	1910	55.0	54	0.300	17.50	82	0.81250	28	NA	1600	NA	NA	NA	NA	2.50	1.00	NA	40	102.940	100	BAND
19920603	X292	TOYSRUS	34157	NO	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NO	NA	YES	MOTTER94	824	2	TABLOID	NA	1910	40.0	57	0.300	16.00	86	0.81250	30	NA	1700	NA	NA	NA	NA	2.50	1.00	NA	40	102.940	100	BAND
19920610	R25	TARGET	34465	NO	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	WOODHOE70	816	1	SPIEGEL	NA	1910	35.0	56	0.267	15.10	81	0.75000	32	NA	2000	NA	NA	NA	NA	2.50	1.00	NA	40	102.940	100	BAND
19920705	AA40	KMART	34527	NA	KEY	NA	NA	GALLATIN	UNCOATED	COATED	NO	NA	YES	MOTTER94	821	7	SPIEGEL	NA	1910	50.0	66	0.300	14.80	80	0.62500	30	NA	1840	NA	NA	NA	NA	2.50	1.00	NA	40	100.000	100	BAND
19920709	I347	MODMAT	47304	YES	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NO	NA	YES	WOODHOE70	815	9	CATALOG	NA	1911	50.0	67	0.300	14.50	86	0.75000	22	NA	1300	NA	NA	NA	NA	2.50	2.00	NA	40	102.770	100	BAND
19920808	1351	HOMESHOP	36567	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	NO	ALBERT70	816	2	CATALOG	NA	1910	NA	62	0.333	14.50	84	NA	23	NA	1200	NA	NA	NA	NA	2.50	NA	NA	40	103.220	100	BAND
19920822	AA28	KMART	34533	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	MOTTER94	821	2	TABLOID	NA	1910	NA	63	0.233	15.50	79	0.62500	35	NA	1760	NA	NA	NA	NA	2.40	1.00	NA	40	106.250	100	BAND
19920826	F131	HANOVERHOUSE	34905	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	ALBERT70	816	9	CATALOG	NA	1910	NA	67	0.300	15.10	80	0.75000	28	NA	1780	NA	NA	NA	NA	2.50	1.00	NA	40	106.250	100	BAND
19920911	AA58	KMART	34534	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	MOTTER94	821	7	SPIEGEL	NA	1911	NA	50	0.333	15.70	82	NA	30	NA	1850	NA	NA	NA	NA	NA	NA	NA	40	103.220	100	BAND
19920915	AA45	KMART	34534	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	MOTTER94	821	7	SPIEGEL	NA	1911	NA	60	0.300	15.00	82	0.50000	22	NA	1800	NA	NA	NA	NA	2.50	1.00	NA	40	96.800	100	BAND
19920918	AA29	KMART	34534	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	MOTTER94	821	7	SPIEGEL	NA	1911	NA	60	0.267	14.80	80	0.62500	25	NA	1850	NA	NA	NA	NA	2.50	1.00	NA	40	96.900	100	BAND
19920920	AA43	KMART	34534	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	MOTTER94	821	7	SPIEGEL	NA	NA	NA	56	0.300	14.10	82	0.62500	40	NA	1800	NA	NA	NA	NA	2.50	0.90	NA	40	96.900	100	BAND
19920712	I366	HOMESHOPPING	36568	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	NA	ALBERT70	816	2	CATALOG	NA	1911	NA	56	0.367	15.10	78	0.50000	29	NA	1320	NA	NA	NA	NA	2.50	NA	NA	40	96.900	100	BAND
19921001	T31	BESTPROD	36054	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	ALBERT70	816	2	CATALOG	NA	1911	NA	47	0.200	15.00	85	0.50000	24	NA	1470	NA	NA	NA	NA	1.80	1.70	NA	40	96.900	100	BAND
19921004	AA067	VENTURE	24780	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NO	NA	YES	MOTTER94	821	7	TABLOID	NA	1911	NA	55	0.367	15.50	76	0.75000	30	NA	1750	NA	NA	NA	NA	2.50	1.20	NA	40	96.900	100	BAND
19921125	I25	HOMESHOP	36569	NA	KEY	NA	NA	GALLATIN	SUPER	COVER	NO	NA	YES	ALBERT70	816	2	CATALOG	NA	1910	NA	53	0.300	14.20	72	1.00000	28	NA	1600	NA	NA	NA	NA	2.70	1.50	NA	40	106.100	100	BAND
19921129	I400	HOMESHOP	36569	NA	KEY	NA	NA	GALLATIN	SUPER	COVER	NO	NA	YES	ALBERT70	816	2	CATALOG	NA	1910	NA	39	0.300	15.10	71	0.62500	30	NA	1700	NA	NA	NA	NA	2.50	1.50	NA	40	106.100	100	BAND
19930113	I305	MODMAT	47401	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NO	NA	YES	ALBERT70	816	2	CATALOG	NA	1911	NA	46	0.300	17.00	80	0.25000	25	NA	1700	NA	NA	NA	NA	2.50	1.50	NA	30	117.700	95	BAND
19930205	R32	TARGET	35502	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	YES	ALBERT70	815	2	SPIEGEL	NA	1910	NA	35	0.300	16.20	88	0.50000	28	NA	1750	NA	NA	NA	NA	2.30	1.00	NA	40	106.000	100	BAND
19930217	W368	JFK	35986	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	WOODHOE70	802	7	SPIEGEL	NA	1910	NA	40	0.333	14.50	70	0.75000	60	NA	1250	NA	NA	NA	NA	2.00	1.50	NA	40	112.500	100	BAND
19930219	T30	COLORFULIMAGE	37046	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	WOODHOE70	802	7	CATALOG	NA	1911	NA	39	0.300	16.00	72	0.75000	50	NA	1350	NA	NA	NA	NA	2.50	2.20	NA	40	106.600	95	BAND
19930227	M337	BESTPROD	35831	NA	KEY	NA	NA	GALLATIN	SUPER	COVER	NA	NA	YES	ALBERT70	815	2	CATALOG	NA	1911	NA	40	0.300	16.50	84	0.62500	26	NA	1565	NA	NA	NA	NA	2.50	1.00	NA	40	106.600	95	BAND
19930309	AA56	KMART	85725	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	YES	MOTTER94	821	7	TABLOID	NA	1910	NA	44	0.200	16.22	74	0.75000	30	NA	2200	NA	NA	NA	NA	2.80	0.80	NA	40	106.600	95	BAND
19930407	G433	TOYSRUS	35661	NA	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NA	NA	YES	ALBERT70	816	2	TABLOID	NA	1910	NA	47	0.233	16.50	86	0.25000	NA	NA	1750	NA	NA	NA	NA	2.10	2.10	NA	40	109.600	95	BAND
19930421	X799	ECKERDS	37392	NA	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NA	NA	YES	MOTTER94	824	2	TABLOID	NA	1910	NA	45	0.200	17.00	84	0.81250	27	NA	1865	NA	NA	NA	NA	1.50	0.70	NA	40	109.100	95	BAND
19930514	I46	MODMAT	47403	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	ALBERT70	816	2	CATALOG	NA	1911	NA	52	0.200	16.00	75	0.31250	25	NA	1500	NA	NA	NA	NA	2.50	0.60	NA	40	109.100	100	BAND
19930624	Y209	KMART	85741	NA	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NA	NA	NA	ALBERT70	816	2	TABLOID	NA	1911	NA	NA	0.300	15.00	80	0.50000	30	NA	2020	NA	NA	NA	NA	2.90	0.50	NA	40	110.300	100	BAND
19930906	E302	KMART	85750	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	YES	MOTTER94	827	2	TABLOID	NA	1911	NA	54	0.300	16.50	88	0.75000	25	NA	1850	NA	NA	NA	NA	3.00	2.00	NA	40	107.140	95	BAND
19930908	I311	MODMAT	47405	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	ALBERT70	815	2	CATALOG	NA	1911	NA	56	0.300	14.00	91	1.12500	27	NA	1650	NA	NA	NA	NA	3.00	1.50	NA	40	100.000	95	BAND
19930915	T26	TOYSRUS	37191	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	ALBERT70	815	2	CATALOG	NA	1911	NA	50	0.200	16.50	74	0.62500	34	NA	1750	NA	NA	NA	NA	2.60	1.00	NA	40	103.125	95	BAND
19930916	T26	HOMESHOP	35069	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	ALBERT70	816	9	CATALOG	NA	1911	NA	56	0.200	17.00	75	0.75000	25	NA	1600	NA	NA	NA	NA	2.00	1.00	NA	40	103.125	95	BAND
19930928	M272	TOYSRUS	37191	NA	KEY	NA	NA	GALLATIN	COATED	COATED	NA	NA	YES	ALBERT70	815	9	CATALOG	NA	1910	NA	55	0.200	17.00	95	0.62500	27	NA	1600	NA	NA	NA	NA	2.50	1.00	NA	40	106.250	100	BAND
19931008	EE304	JCP	35425	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	YES	MOTTER94	821	7	TABLOID	NA	1911	NA	54	0.267	15.50	80	0.75000	40	NA	2000	NA	NA	NA	NA	1.80	1.30	NA	40	107.140	NA	BAND
19940904	X255	WALMART	71331	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	NA	MOTTER94	824	2	TABLOID	NA	1911	NA	54	NA	15.50	78	0.81250	30	NA	2100	NA	NA	NA	NA	1.20	1.00	NA	40	97.050	100	BAND
19941004	AA97	KMART	85813	NA	KEY	NA	NA	GALLATIN	SUPER	COATED	NA	NA	YES	MOTTER94	828	2	TABLOID	NA	1910	NA	53	NA	17.00	73	0.75000	35	NA	2100	NA	NA	NA	NA	2.60	1.30	NA	40	113.300	100	BAND
19941001	E78	ECKERD	38240	NA	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NA	NA	NO	MOTTER94	828	2	TABLOID	NA	1911	NA	NA	NA	16.00	83	NA	28	NA	2400	NA	NA	NA	NA	2.50	1.00	NA	40	112.500	100	BAND
19940927	E38	ECKERD	38240	NA	KEY	NA	NA	GALLATIN	UNCOATED	UNCOATED	NA	NA	YES	MOTTER94	828	9	TABLOID	NA	1911	NA	60	NA	14.90	76	1.00000	30	NA	2500	NA	NA	NA	NA	0.50	0.50	NA	40	112.500	100	BAND
19941007	AA7	KMART	85813	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	NA	MOTTER94	827	2	TABLOID	NA	1910	NA	56	0.300	18.30	80	1.00000	32	NA	1900	NA	NA	NA	NA	NA	NA	NA	40	110.000	100	BAND
19941005	AA66	KMART	85813	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	NA	MOTTER94	827	9	TABLOID	NA	1910	NA	52	NA	18.00	82	1.00000	25	NA	1880	NA	NA	NA	NA	1.00	1.00	NA	40	112.500	100	BAND
19941009	J44	BEST	38064	NA	KEY	NA	NA	GALLATIN	SUPER	COATED	NA	NA	YES	ALBERT70	815	1	TABLOID	NA	1910	NA	NA	0.200	16.10	76	0.50000	34	NA	2100	NA	NA	NA	NA	0.00	0.00	NA	40	110.000	100	BAND
19941009	AA58	KMART	85814	NA	KEY	NA	NA	GALLATIN	SUPER	COATED	NA	NA	NA	MOTTER94	827	2	TABLOID	NA	1910	NA	NA	0.300	16.50	70	1.00000	34	NA	1903	NA	NA	NA	NA	2.70	2.80	NA	40	108.000	100	BAND
19941010	AA70	KMART	85814	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	NA	MOTTER94	828	2	TABLOID	NA	1910	NA	46	0.267	16.40	76	1.00000	34	NA	1903	NA	NA	NA	NA	1.50	2.30	NA	40	108.000	100	BAND
19941010	J70	BEST	38064	NA	KEY	NA	NA	GALLATIN	SUPER	UNCOATED	NA	NA	YES	ALBERT70	815	1	TABLOID	NA	1910	NA	46	0.200	14.20	75	0.75000	25	NA	2050	NA	NA	NA	NA	2.50	1.00	NA	40	108.100	100	BAND

Missing values

We will focus now on the missing values, which makes this dataset so special. In fact we observe a lot of missing value and we have to decide what to do with them.

Figure 3

We see from Figure 3, that 4.6 % of the data are missing and the complete rows, i.e. an observation containing a value for all the variables, represent only 51 % of the total observations. From Figure 4, we observe that all the NAs of the bands dataset comes from 28 variables, with a special mention for the location variables which counts 156 missing values (almost 30 % percent of the observations are missing). Then, almost 10 variables counts quite the same number of missing value, so we will try to understand if there is a explanation behind this. It should be noted that for these attributes, the percentage of NAs is almost 10 %.

x<-inspect_na(bands)
show_plot(x, col_palette=2)

Figure 4: Prevalence of NAs

Structure of the missing values

In order to analyze the structure of the missing values, we plot them in rows; that will allow to see if there is a link between the NAs.

Figure 5: Missing values in rows

We get some interesting informations from Figure 5; the repartition of missing values seems to be concentrated in the very last observations. This could be due to a problem in recording the observations, or more simply due to the fact that from a certain point in time, they decided to not record these specific variables anymore. 13 variables are missing from the 486th observation, which means that we lost a lot of informations. We have to wonder if it is useful to keep these observations for the analysis; deleting them would reduce the dataset of 54 rows but would also reduce drastically the number of missing values that we don’t have to replace by an imputation method (knn, mean, median…). Keeping them and replacing the missing values for the 13 variables by an imputation method would not make any sense as more than 30 % of the variables in the observations are created from assumptions (13 out 40). Based on this point, we decide to delete the last 54 consecutive observations of the dataset, which will give us a dataset with 485 observations.

#Delete the last rows that have consecutive missing data
bands <- bands[-c(486:540),]

At this point, we can check again the prevalence of missing values:

x1<-inspect_na(bands)
show_plot(x1, col_palette=2)

Figure 4: Prevalence of NAs

bands %>%
  introduce() %>%
  t() %>%
  kable() %>%
  kable_styling(
    bootstrap_options = c("striped", "hover", "condensed", "bordered"),
    full_width = F,
    position = "center")

rows	485
columns	40
discrete_columns	16
continuous_columns	24
all_missing_columns	0
total_missing_values	311
complete_rows	277
total_observations	19400
memory_usage	164296

We observe that the variable location is the only one to still have an important ratio of missing values (more than 20%). Replacing all these values with an imputation method don’t seem to be the best option in our opinion. We take the decision to set these NAs as UNDEFINED to ….

# replace missing values of "location variable" with value "Undefined"
bands$location = as.character(bands$location)
bands$location[is.na(bands$location)] <- "UNDEFINED"
bands$location = as.factor(bands$location)

Imputation of the missing values

The amount of missing values for the rest of the variables is perceived as acceptable and these variables will be imputed by a k-Nearest-Neighbors (kNN) method. KNN is an algorithm that is useful for matching a point with its closest k neighbors in a multi-dimensional space. It can be used for data that are continuous, discrete, ordinal and categorical which makes it particularly useful for dealing with all kind of missing data. We have to set a value for k and decide to go for the simple approach to set k = sqrt(n) = 22.

# replace missing values with knn 


n <- nrow(bands)
n

## [1] 485

k <- sqrt(n)

bands <- knnImputation(bands, k=22)

# check missing value
anyNA(bands)

## [1] FALSE

Selection of the variables

First elimination

look at the variable
some are useless
cylinder_no special too many levels but we can keep the first letter as value (the same letter comes from same fabrication so maybe same problem)

Once the database is complete and has no more missing values, we have now to look at these variables and decide what are the one we can delete for the analysis. In fact, there are a lot of attributes that are useless to define if the product presents defects or not. First of all, we can delete the variable with only 1 level of factor like ink_color and cylinder_division, as they won’t have any effect on the response variable. on the other hand, the variable job_number seems to have too much levels (more than 200) and don’t seem to affect the response variable. The variables customer and date can also be deleted as it have no possibiliies to affect the classe of the observations. Finally, the variable cylinder_no recquire a deeper analysis: if we look at the number of levels we should delete it, because it has almost the same number of levels (429) than observations (485) and it doesn’t make sense to keep it to define the class. Therefore, the cylinder is the most important part of the printing processus, as when a problem of banding is detected in the processus, the cylinder has to be removed and repaired. So that means that it has a direct effect on the response variable. We really want to keep it for the analysis, so we decide to keep only the first letter of the value for each colomn, as we see that almost every values is in the form “LETTER NUMBER NUMBER NUMBER”; doing so the number of levels drop to 17, which is acceptable in term of analysis. We can assume that the letter represent the number of the batch or the location where it has been produced and it could have real effect on the response variable.

This first attempt to reduce the number of attribute gives us a database with 35 variables, which seems still high for a good analysis. We will see another method based on statistical features to try to select the most important attributes to keep for the analysis.

# Delete variables that are not needed
bands <-
  bands[, which(
    !names(bands) %in% c(
      "date", # useless
      "ink_color", # only 1 level
      "customer", # don't depend on the printing processus
      'cylinder_division', # only 1 level
      'job_number' # too many levels
    )
  )]

bands$cylinder_no <- as.factor(substr(bands$cylinder_no, 0, 1))

Boruta test - Second elimination

objective of boruta
explain how it works
justify selected parameter
decision to keep only the variable choosen by boruta
quick summary of new database after cutting the variables

The Boruta algorithm is a wrapper built around the random forest classification algorithm. It tries to capture all the important and interesting features we might have in our dataset with respect to an outcome variable. We can explain how the algorithm works with help of this website.

Let’s assume we have a target vector T (the response variable band_type) and a bunch of predictors P (all the other variables).

The Boruta algorithm starts by duplicating every variable in P, but instead of making a row-for-row copy, it permutes the order of the values in each column. So, in the copied columns (let’s call them P’), there should be no relationship between the values and the target vector.

Boruta then trains a Random Forest to predict T based on P and P’.

The algorithm then compares the variable importance scores for each variable in P with it’s “shadow” in P’. If the distribution of variable importances is significantly greater in P than it is in P’, then the Boruta algorithm considers that variable significant.

Importance of variable with Boruta

Variable	Decision
cylinder_no	Confirmed
grain_screened	Confirmed
proof_ink	Rejected
blade_mfg	Rejected
paper_type	Confirmed
ink_type	Confirmed
direct_steam	Rejected
solvent_type	Rejected
cylinder_type	Confirmed
press_type	Confirmed
press	Confirmed
unit_number	Confirmed
cylinder_size	Confirmed
location	Confirmed
plating_tank	Rejected
proof_cut	Confirmed
viscosity	Confirmed
caliper	Rejected
ink_temperature	Confirmed
humidity	Confirmed
roughness	Tentative
blade_pressure	Confirmed
varnish_pct	Confirmed
press_speed	Confirmed
ink_pct	Confirmed
solvent_pct	Confirmed
ESA_voltage	Confirmed
ESA_amperage	Rejected
wax	Confirmed
hardener	Confirmed
roller_durometer	Confirmed
current_density	Confirmed
anode_space_ratio	Tentative
chrome_content	Rejected
^* Results of the boruta test

Outliers

We have generated the boxplot and the summary for all the variables and examinated the outliers. Given that the outliers were not showing any significant values, we have decided that there are no error meassurements and neither error entries in the data

Exploratory Data Analysis

find an order for the different plot that make sense
do not put a plot if it is not useful
get insights

plot_histogram(bands)

plot_density(bands)

plot_boxplot(bands, by= 'band_type',  ncol = 2, title = "Side-by-side boxplots")

# split data in 2
bands.band <- filter(bands, bands$band_type == 'BAND')

bands.noband <- filter(bands, bands$band_type == 'NOBAND')

bands%>%
  explore_all(target = band_type)

Fitting the models

#normalize data
# doesn't change the results so we will not keep the modifications
# b.process <- preProcess(bands, method= 'range')
# b <- predict(b.process, newdata = bands)

test and train sets

# Create the training and test datasets
set.seed(100)

# Step 1: Get row numbers for the training data
trainRowNumbers <- createDataPartition(bands$band_type, p=0.75, list=FALSE)

# Step 2: Create the training  dataset
trainData <- bands[trainRowNumbers,]

# Step 3: Create the test dataset
testData <- bands[-trainRowNumbers,]

# the proportion of the classes (BAND and NOBAND) stay the same in the train and test set (65 and 35% respectively)

Random Forest

explain how it works
fit the model
results

# random forest


# Call the function:

integ_mod_1 <- data_integrity_model(data = bands, model_name = "randomForest")
integ_mod_1$data_ok

## [1] TRUE

# Any errors ?
integ_mod_1

## ✔ Data model integrity ok!

set.seed(12345)
model_rf <- randomForest(formula(band_type ~.), 
                          data= trainData, 
                          ntree=400, mtry=3, 
                          importance=TRUE, 
                          localImp=TRUE,
                          na.action=na.roughfix,
                          replace=FALSE)
print(model_rf)

## 
## Call:
##  randomForest(formula = formula(band_type ~ .), data = trainData,      ntree = 400, mtry = 3, importance = TRUE, localImp = TRUE,      replace = FALSE, na.action = na.roughfix) 
##                Type of random forest: classification
##                      Number of trees: 400
## No. of variables tried at each split: 3
## 
##         OOB estimate of  error rate: 21.7%
## Confusion matrix:
##        BAND NOBAND class.error
## BAND     70     60  0.46153846
## NOBAND   19    215  0.08119658

head(round(importance(model_rf), 2))

##                 BAND NOBAND MeanDecreaseAccuracy MeanDecreaseGini
## cylinder_no    13.05   5.88                12.03            10.00
## grain_screened  6.56   4.60                 7.81             1.36
## paper_type      3.96   2.41                 4.64             0.88
## ink_type        6.86   4.93                 8.30             2.04
## cylinder_type   3.30   7.85                 8.12             2.19
## press_type      7.30   8.09                 9.84             3.30

varImpPlot(model_rf)

rf.pred<-predict(model_rf, testData, type="class")
rf.pred

##     10     16     27     36     37     42     48     51     60     65 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND NOBAND   BAND 
##     67     71     72     73     76     80     85     87     90     92 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND   BAND NOBAND 
##     99    102    106    111    113    130    133    139    144    152 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    155    158    169    172    177    179    185    186    190    202 
## NOBAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    203    207    210    214    223    225    226    234    237    239 
## NOBAND NOBAND   BAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND 
##    242    243    244    246    248    253    255    256    265    270 
##   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    272    276    281    282    283    287    289    290    291    293 
## NOBAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    299    304    309    315    319    320    322    326    331    335 
## NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND   BAND NOBAND NOBAND 
##    340    344    345    352    358    359    361    364    369    372 
##   BAND NOBAND NOBAND   BAND   BAND   BAND   BAND   BAND NOBAND NOBAND 
##    380    383    385    387    391    392    396    399    400    403 
## NOBAND NOBAND   BAND NOBAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND 
##    409    412    413    414    416    419    424    426    428    431 
##   BAND   BAND NOBAND   BAND   BAND NOBAND NOBAND NOBAND NOBAND   BAND 
##    437    446    449    450    451    452    459    467    473    480 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND   BAND   BAND   BAND 
##    484 
##   BAND 
## Levels: BAND NOBAND

table(true=testData$band_type, pred = rf.pred)

##         pred
## true     BAND NOBAND
##   BAND     25     18
##   NOBAND    4     74

CrossTable(x=testData$band_type, y=rf.pred, prop.chisq=FALSE)

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  121 
## 
##  
##                    | rf.pred 
## testData$band_type |      BAND |    NOBAND | Row Total | 
## -------------------|-----------|-----------|-----------|
##               BAND |        25 |        18 |        43 | 
##                    |     0.581 |     0.419 |     0.355 | 
##                    |     0.862 |     0.196 |           | 
##                    |     0.207 |     0.149 |           | 
## -------------------|-----------|-----------|-----------|
##             NOBAND |         4 |        74 |        78 | 
##                    |     0.051 |     0.949 |     0.645 | 
##                    |     0.138 |     0.804 |           | 
##                    |     0.033 |     0.612 |           | 
## -------------------|-----------|-----------|-----------|
##       Column Total |        29 |        92 |       121 | 
##                    |     0.240 |     0.760 |           | 
## -------------------|-----------|-----------|-----------|
## 
##

confusionMatrix(rf.pred, testData$band_type, positive = 'NOBAND')

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     25      4
##     NOBAND   18     74
##                                           
##                Accuracy : 0.8182          
##                  95% CI : (0.7378, 0.8824)
##     No Information Rate : 0.6446          
##     P-Value [Acc > NIR] : 2.167e-05       
##                                           
##                   Kappa : 0.5719          
##                                           
##  Mcnemar's Test P-Value : 0.005578        
##                                           
##             Sensitivity : 0.9487          
##             Specificity : 0.5814          
##          Pos Pred Value : 0.8043          
##          Neg Pred Value : 0.8621          
##              Prevalence : 0.6446          
##          Detection Rate : 0.6116          
##    Detection Prevalence : 0.7603          
##       Balanced Accuracy : 0.7651          
##                                           
##        'Positive' Class : NOBAND          
##

# check RF with bandsSmall --> in my opinion the results are poor (76% accuracy vs 82%)

bandsSmall <- bands[c(1,2,4,6,7,9,12,16,18,23,24,26, 27)] # only the elbow from Boruta and important variable from RF
# Create the training and test datasets
set.seed(100)

# Step 1: Get row numbers for the training data
trainRowNumbersSmall <- createDataPartition(bandsSmall$band_type, p=0.75, list=FALSE)

# Step 2: Create the training  dataset
trainDataSmall <- bandsSmall[trainRowNumbersSmall,]

# Step 3: Create the test dataset
testDataSmall <- bandsSmall[-trainRowNumbersSmall,]

# Call the function:

integ_mod_2 <- data_integrity_model(data = bandsSmall, model_name = "randomForest")
integ_mod_2$data_ok

## [1] TRUE

# Any errors ?
integ_mod_2

## ✔ Data model integrity ok!

model_rf2 <- randomForest(formula(band_type ~.), 
                          data= trainDataSmall, 
                          ntree=500, mtry=4, 
                          importance=TRUE, 
                          localImp=TRUE,
                          na.action=na.roughfix,
                          replace=FALSE)
print(model_rf2)

## 
## Call:
##  randomForest(formula = formula(band_type ~ .), data = trainDataSmall,      ntree = 500, mtry = 4, importance = TRUE, localImp = TRUE,      replace = FALSE, na.action = na.roughfix) 
##                Type of random forest: classification
##                      Number of trees: 500
## No. of variables tried at each split: 4
## 
##         OOB estimate of  error rate: 22.53%
## Confusion matrix:
##        BAND NOBAND class.error
## BAND     67     63  0.48461538
## NOBAND   19    215  0.08119658

head(round(importance(model_rf2), 2))

##                 BAND NOBAND MeanDecreaseAccuracy MeanDecreaseGini
## cylinder_no    18.22  13.55                23.26            14.73
## grain_screened  4.18  10.77                12.67             2.23
## ink_type        6.64  12.92                15.22             3.84
## press_type     10.88  12.21                16.25             4.08
## press          11.98  14.40                18.28             6.77
## cylinder_size   1.84   5.72                 6.39             1.52

varImpPlot(model_rf2)

rf.pred<-predict(model_rf2, testDataSmall, type="class")
rf.pred

##     10     16     27     36     37     42     48     51     60     65 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND   BAND   BAND 
##     67     71     72     73     76     80     85     87     90     92 
##   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND   BAND NOBAND 
##     99    102    106    111    113    130    133    139    144    152 
## NOBAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    155    158    169    172    177    179    185    186    190    202 
## NOBAND NOBAND NOBAND   BAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    203    207    210    214    223    225    226    234    237    239 
## NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND 
##    242    243    244    246    248    253    255    256    265    270 
## NOBAND NOBAND NOBAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND   BAND 
##    272    276    281    282    283    287    289    290    291    293 
##   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    299    304    309    315    319    320    322    326    331    335 
## NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND   BAND NOBAND NOBAND 
##    340    344    345    352    358    359    361    364    369    372 
##   BAND NOBAND NOBAND   BAND   BAND   BAND   BAND NOBAND NOBAND NOBAND 
##    380    383    385    387    391    392    396    399    400    403 
## NOBAND NOBAND   BAND NOBAND NOBAND NOBAND   BAND   BAND NOBAND NOBAND 
##    409    412    413    414    416    419    424    426    428    431 
##   BAND NOBAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    437    446    449    450    451    452    459    467    473    480 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND   BAND   BAND NOBAND 
##    484 
##   BAND 
## Levels: BAND NOBAND

table(true=testDataSmall$band_type, pred = rf.pred)

##         pred
## true     BAND NOBAND
##   BAND     24     19
##   NOBAND    6     72

CrossTable(x=testDataSmall$band_type, y=rf.pred, prop.chisq=FALSE)

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  121 
## 
##  
##                         | rf.pred 
## testDataSmall$band_type |      BAND |    NOBAND | Row Total | 
## ------------------------|-----------|-----------|-----------|
##                    BAND |        24 |        19 |        43 | 
##                         |     0.558 |     0.442 |     0.355 | 
##                         |     0.800 |     0.209 |           | 
##                         |     0.198 |     0.157 |           | 
## ------------------------|-----------|-----------|-----------|
##                  NOBAND |         6 |        72 |        78 | 
##                         |     0.077 |     0.923 |     0.645 | 
##                         |     0.200 |     0.791 |           | 
##                         |     0.050 |     0.595 |           | 
## ------------------------|-----------|-----------|-----------|
##            Column Total |        30 |        91 |       121 | 
##                         |     0.248 |     0.752 |           | 
## ------------------------|-----------|-----------|-----------|
## 
##

confusionMatrix(rf.pred, testDataSmall$band_type, positive = 'NOBAND')

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     24      6
##     NOBAND   19     72
##                                           
##                Accuracy : 0.7934          
##                  95% CI : (0.7103, 0.8616)
##     No Information Rate : 0.6446          
##     P-Value [Acc > NIR] : 0.0002764       
##                                           
##                   Kappa : 0.5162          
##                                           
##  Mcnemar's Test P-Value : 0.0163951       
##                                           
##             Sensitivity : 0.9231          
##             Specificity : 0.5581          
##          Pos Pred Value : 0.7912          
##          Neg Pred Value : 0.8000          
##              Prevalence : 0.6446          
##          Detection Rate : 0.5950          
##    Detection Prevalence : 0.7521          
##       Balanced Accuracy : 0.7406          
##                                           
##        'Positive' Class : NOBAND          
##

Nearest Neighbour Classification

we still have to fit this model

explain how it works
fit the model
results

Logistic Regression

explain how it works
fit the model
results

# logistic regression

fitControl <- trainControl(method = "none")

model_lr <-
  train(band_type ~ .,
        data = trainData,
        method = "glm",
        trControl = fitControl)

print(model_lr$finalModel)

## 
## Call:  NULL
## 
## Coefficients:
##          (Intercept)          cylinder_noA          cylinder_noB  
##           -2.597e+02            -2.022e+01             1.775e+00  
##         cylinder_noE          cylinder_noF          cylinder_noG  
##           -9.740e-01             1.432e+00            -7.182e-01  
##         cylinder_noI          cylinder_noJ          cylinder_noM  
##            1.234e+00             3.303e+00             1.123e+00  
##         cylinder_noO          cylinder_noR          cylinder_noS  
##            1.421e+01             1.757e+01             1.256e+01  
##         cylinder_noT          cylinder_noV          cylinder_noW  
##            1.213e+00            -1.882e+01             1.860e+01  
##         cylinder_noX          cylinder_noY     grain_screenedYES  
##           -5.932e-01                    NA            -3.769e-01  
##      paper_typeSUPER    paper_typeUNCOATED         ink_typeCOVER  
##                   NA             1.127e+00            -2.690e+00  
##     ink_typeUNCOATED      cylinder_typeYES    press_typeMOTTER70  
##           -8.847e-01             1.167e+00            -3.935e+00  
##   press_typeMOTTER94   press_typeWOODHOE70                 press  
##           -9.341e+00            -8.750e+00             3.424e-01  
##          unit_number  cylinder_sizeSPIEGEL  cylinder_sizeTABLOID  
##            7.097e-02            -1.767e+01            -9.172e-02  
##  locationMIDEUROPEAN       locationNORTHUS  locationSCANDANAVIAN  
##           -8.470e-01            -1.519e+00            -3.168e+00  
##      locationSOUTHUS     locationUNDEFINED             proof_cut  
##           -4.767e+00            -1.891e+00            -1.308e-02  
##            viscosity       ink_temperature              humidity  
##           -6.374e-02            -6.809e-02             9.021e-03  
##            roughness        blade_pressure           varnish_pct  
##           -1.411e+00            -1.192e-01            -1.452e-02  
##          press_speed               ink_pct           solvent_pct  
##            2.509e-03            -7.560e-02            -1.881e-02  
##          ESA_voltage                   wax              hardener  
##            2.042e-01             9.117e-01            -5.319e-01  
##     roller_durometer       current_density     anode_space_ratio  
##           -1.781e-02            -1.399e-01             1.573e-02  
## 
## Degrees of Freedom: 363 Total (i.e. Null);  315 Residual
## Null Deviance:       474.5 
## Residual Deviance: 295.2     AIC: 393.2

pred <- predict(model_lr, newdata = testData)

## Warning in predict.lm(object, newdata, se.fit, scale = 1, type = if (type
## == : prediction from a rank-deficient fit may be misleading

print(table(pred))

## pred
##   BAND NOBAND 
##     39     82

mat <-
  confusionMatrix(data = pred,
                  reference = testData$band_type,
                  positive = "NOBAND")
print(mat)

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     27     12
##     NOBAND   16     66
##                                           
##                Accuracy : 0.7686          
##                  95% CI : (0.6832, 0.8404)
##     No Information Rate : 0.6446          
##     P-Value [Acc > NIR] : 0.002297        
##                                           
##                   Kappa : 0.4842          
##                                           
##  Mcnemar's Test P-Value : 0.570750        
##                                           
##             Sensitivity : 0.8462          
##             Specificity : 0.6279          
##          Pos Pred Value : 0.8049          
##          Neg Pred Value : 0.6923          
##              Prevalence : 0.6446          
##          Detection Rate : 0.5455          
##    Detection Prevalence : 0.6777          
##       Balanced Accuracy : 0.7370          
##                                           
##        'Positive' Class : NOBAND          
##

# the results are very poor, so we will focus on other model, because this one would be difficult to improve

Support Vector Machine 1

explain how it works
fit the model
results

# SVM1

fitControl <- trainControl(method = "cv", number = 5)

model_svm <- train(
  band_type ~ .,
  data =
    trainData,
  method = "svmLinear",
  trControl = fitControl,
  tuneGrid = data.frame(C = 10)
)

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

print(model_svm)

## Support Vector Machines with Linear Kernel 
## 
## 364 samples
##  26 predictor
##   2 classes: 'BAND', 'NOBAND' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 292, 291, 291, 291, 291 
## Resampling results:
## 
##   Accuracy   Kappa    
##   0.6729833  0.2618002
## 
## Tuning parameter 'C' was held constant at a value of 10

varimp_svm <- varImp(model_svm)
varimp_svm

## ROC curve variable importance
## 
##   only 20 most important variables shown (out of 26)
## 
##                  Importance
## press_speed          100.00
## press_type            98.92
## location              98.46
## ink_type              72.10
## roller_durometer      71.75
## grain_screened        67.69
## cylinder_type         66.54
## press                 60.34
## paper_type            53.44
## viscosity             48.73
## cylinder_no           47.44
## ink_pct               46.49
## unit_number           38.65
## ESA_voltage           36.14
## varnish_pct           35.74
## proof_cut             33.52
## ink_temperature       31.92
## current_density       31.18
## roughness             27.58
## humidity              24.79

plot(varimp_svm, main = "Variable Importance with SVM")

print(confusionMatrix(
  data = predict(model_svm, newdata =
                   testData),
  reference = testData$band_type,
  positive = "NOBAND"
))

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     23     10
##     NOBAND   20     68
##                                          
##                Accuracy : 0.7521         
##                  95% CI : (0.6654, 0.826)
##     No Information Rate : 0.6446         
##     P-Value [Acc > NIR] : 0.007581       
##                                          
##                   Kappa : 0.4291         
##                                          
##  Mcnemar's Test P-Value : 0.100348       
##                                          
##             Sensitivity : 0.8718         
##             Specificity : 0.5349         
##          Pos Pred Value : 0.7727         
##          Neg Pred Value : 0.6970         
##              Prevalence : 0.6446         
##          Detection Rate : 0.5620         
##    Detection Prevalence : 0.7273         
##       Balanced Accuracy : 0.7033         
##                                          
##        'Positive' Class : NOBAND         
##

Support Vector Machine 2

explain how it works
fit the model
results

#SVM2


model_svm2 <- train(band_type ~ .,
                          data = trainData, 
                          method = "svmRadialCost",
                          preProcess = "range",
                          trace = FALSE,
                          trControl = trainControl(method = "repeatedcv", number = 10, repeats = 10, 
                                                  verboseIter = FALSE))

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noS, cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noS, cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noS, cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noS, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noS, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noS, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noA, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.

model_svm2

## Support Vector Machines with Radial Basis Function Kernel 
## 
## 364 samples
##  26 predictor
##   2 classes: 'BAND', 'NOBAND' 
## 
## Pre-processing: re-scaling to [0, 1] (49) 
## Resampling: Cross-Validated (10 fold, repeated 10 times) 
## Summary of sample sizes: 328, 327, 328, 327, 327, 328, ... 
## Resampling results across tuning parameters:
## 
##   C     Accuracy   Kappa     
##   0.25  0.6531982  0.05712846
##   0.50  0.6968769  0.23965765
##   1.00  0.7147222  0.33383931
## 
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was C = 1.

plot(model_svm2)

print(confusionMatrix(
  data = predict(model_svm2, newdata =
                   testData),
  reference = testData$band_type,
  positive = "NOBAND"
))

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     16      6
##     NOBAND   27     72
##                                           
##                Accuracy : 0.7273          
##                  95% CI : (0.6388, 0.8043)
##     No Information Rate : 0.6446          
##     P-Value [Acc > NIR] : 0.0336717       
##                                           
##                   Kappa : 0.3315          
##                                           
##  Mcnemar's Test P-Value : 0.0004985       
##                                           
##             Sensitivity : 0.9231          
##             Specificity : 0.3721          
##          Pos Pred Value : 0.7273          
##          Neg Pred Value : 0.7273          
##              Prevalence : 0.6446          
##          Detection Rate : 0.5950          
##    Detection Prevalence : 0.8182          
##       Balanced Accuracy : 0.6476          
##                                           
##        'Positive' Class : NOBAND          
##

# # this one takes a lot of time
# C <- c(0.25, 0.1, 0.5, 1)
# sigma <- c(0.01, 0.1, 1)
# gr.radial<-expand.grid(C = C, sigma = sigma)
# 
# model_svm3<- train(band_type ~ .,
#                           data = trainData,
#                           method = "svmRadial",
#                           preProcess = "range",
#                           trace=FALSE,
#                           trControl = trainControl(method = "repeatedcv", number = 10, repeats = 5, 
#                                                   verboseIter = FALSE),
#                           tuneGrid=gr.radial)
# 
# 
# model_svm3
# 
# plot(model_svm3)
# 
# print(confusionMatrix(
#   data = predict(model_svm3, newdata =
#                    testData),
#   reference = testData$band_type,
#   positive = "NOBAND"
# ))

Neural Network

explain how it works
fit the model
results

# numFolds <-
#   trainControl(
#     method = 'cv',
#     number = 1,
#     classProbs = TRUE,
#     verboseIter = TRUE,
#     summaryFunction = twoClassSummary,
#     preProcOptions = list(
#       thresh = 0.75,
#       ICAcomp = 3,
#       k = 5
#     )
#   )
# fit2 <-
#   train(
#     band_type ~ . - band_type,
#     data = trainData,
#     method = 'nnet',
#     preProcess = c('center', 'scale'),
#     trControl = numFolds,
#     tuneGrid = expand.grid(size = c(10), decay = c(0.1))
#   )




model_nnet <- caret::train(band_type ~ ., data = trainData, method = "nnet", preProcess = "range", 
    trace = FALSE, trControl = trainControl(method = "cv"))

## Warning in preProcess.default(method = "range", x = structure(c(0, 0, 0, :
## No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: cylinder_noV, paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

## Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut
## = 10, : No variation for for: paper_typeSUPER

model_nnet

## Neural Network 
## 
## 364 samples
##  26 predictor
##   2 classes: 'BAND', 'NOBAND' 
## 
## Pre-processing: re-scaling to [0, 1] (49) 
## Resampling: Cross-Validated (10 fold) 
## Summary of sample sizes: 328, 327, 328, 327, 328, 328, ... 
## Resampling results across tuning parameters:
## 
##   size  decay  Accuracy   Kappa    
##   1     0e+00  0.6511261  0.3111486
##   1     1e-04  0.6319069  0.2463650
##   1     1e-01  0.7226727  0.3772422
##   3     0e+00  0.6949700  0.3058430
##   3     1e-04  0.6870871  0.3129252
##   3     1e-01  0.7030030  0.3426626
##   5     0e+00  0.6588589  0.2305437
##   5     1e-04  0.7088589  0.3661735
##   5     1e-01  0.7552553  0.4578803
## 
## Accuracy was used to select the optimal model using the largest value.
## The final values used for the model were size = 5 and decay = 0.1.

varimp_nnet <- varImp(model_nnet)
varimp_nnet

## nnet variable importance
## 
##   only 20 most important variables shown (out of 50)
## 
##                     Overall
## viscosity            100.00
## roughness             91.93
## wax                   90.71
## paper_typeUNCOATED    83.40
## varnish_pct           81.22
## press_speed           79.27
## current_density       77.75
## blade_pressure        77.52
## proof_cut             73.06
## press_typeWOODHOE70   65.12
## unit_number           65.10
## ink_pct               64.80
## hardener              61.68
## press                 55.96
## ink_typeUNCOATED      55.37
## humidity              53.70
## locationNORTHUS       52.39
## ink_typeCOVER         48.04
## cylinder_noM          47.84
## anode_space_ratio     47.73

plot(varimp_nnet, main = "Variable Importance with Nnet")

results1 <- predict(model_nnet, newdata = testData)
results1

##   [1] BAND   BAND   NOBAND NOBAND BAND   NOBAND BAND   BAND   NOBAND BAND  
##  [11] NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND BAND   BAND   NOBAND
##  [21] NOBAND NOBAND BAND   NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND
##  [31] NOBAND NOBAND BAND   NOBAND NOBAND NOBAND BAND   NOBAND NOBAND NOBAND
##  [41] BAND   NOBAND BAND   NOBAND NOBAND BAND   BAND   NOBAND NOBAND NOBAND
##  [51] BAND   NOBAND NOBAND NOBAND NOBAND BAND   NOBAND BAND   NOBAND NOBAND
##  [61] NOBAND NOBAND NOBAND NOBAND NOBAND BAND   NOBAND NOBAND NOBAND NOBAND
##  [71] NOBAND NOBAND BAND   NOBAND NOBAND NOBAND NOBAND BAND   NOBAND NOBAND
##  [81] BAND   NOBAND NOBAND BAND   BAND   BAND   BAND   NOBAND NOBAND NOBAND
##  [91] NOBAND NOBAND BAND   NOBAND NOBAND NOBAND NOBAND NOBAND BAND   NOBAND
## [101] BAND   NOBAND BAND   BAND   NOBAND NOBAND NOBAND NOBAND NOBAND BAND  
## [111] NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND BAND   BAND   BAND   NOBAND
## [121] BAND  
## Levels: BAND NOBAND

conf1 <-
  confusionMatrix(results1, testData$band_type, positive = 'NOBAND')
conf1

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     26     10
##     NOBAND   17     68
##                                           
##                Accuracy : 0.7769          
##                  95% CI : (0.6922, 0.8475)
##     No Information Rate : 0.6446          
##     P-Value [Acc > NIR] : 0.001186        
##                                           
##                   Kappa : 0.4945          
##                                           
##  Mcnemar's Test P-Value : 0.248213        
##                                           
##             Sensitivity : 0.8718          
##             Specificity : 0.6047          
##          Pos Pred Value : 0.8000          
##          Neg Pred Value : 0.7222          
##              Prevalence : 0.6446          
##          Detection Rate : 0.5620          
##    Detection Prevalence : 0.7025          
##       Balanced Accuracy : 0.7382          
##                                           
##        'Positive' Class : NOBAND          
##

Classification Tree

explain how it works
fit the model
pruning…
results

library(rpart)
library(rpart.plot)
# Build the model
set.seed(123)
model_cart <- rpart(band_type ~., data = trainData, method = "class")  
model_cart

## n= 364 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##   1) root 364 130 NOBAND (0.35714286 0.64285714)  
##     2) cylinder_no=A,G,I,V,W,Y 72  27 BAND (0.62500000 0.37500000)  
##       4) blade_pressure< 36.5 62  19 BAND (0.69354839 0.30645161)  
##         8) press_speed< 2184.5 53  12 BAND (0.77358491 0.22641509) *
##         9) press_speed>=2184.5 9   2 NOBAND (0.22222222 0.77777778) *
##       5) blade_pressure>=36.5 10   2 NOBAND (0.20000000 0.80000000) *
##     3) cylinder_no=B,E,F,J,M,O,R,S,T,X 292  85 NOBAND (0.29109589 0.70890411)  
##       6) press_speed< 2025 206  77 NOBAND (0.37378641 0.62621359)  
##        12) viscosity>=62.5 22   6 BAND (0.72727273 0.27272727)  
##          24) grain_screened=YES 12   0 BAND (1.00000000 0.00000000) *
##          25) grain_screened=NO 10   4 NOBAND (0.40000000 0.60000000) *
##        13) viscosity< 62.5 184  61 NOBAND (0.33152174 0.66847826)  
##          26) press_type=ALBERT70,MOTTER94,WOODHOE70 154  59 NOBAND (0.38311688 0.61688312)  
##            52) ink_temperature< 14.65 50  22 BAND (0.56000000 0.44000000)  
##             104) unit_number>=4.5 29   8 BAND (0.72413793 0.27586207) *
##             105) unit_number< 4.5 21   7 NOBAND (0.33333333 0.66666667)  
##               210) varnish_pct< 2.8 7   2 BAND (0.71428571 0.28571429) *
##               211) varnish_pct>=2.8 14   2 NOBAND (0.14285714 0.85714286) *
##            53) ink_temperature>=14.65 104  31 NOBAND (0.29807692 0.70192308)  
##             106) unit_number< 8 76  28 NOBAND (0.36842105 0.63157895)  
##               212) cylinder_no=B,E,J,R,T,X 51  25 NOBAND (0.49019608 0.50980392)  
##                 424) blade_pressure>=25.5 26   8 BAND (0.69230769 0.30769231) *
##                 425) blade_pressure< 25.5 25   7 NOBAND (0.28000000 0.72000000) *
##               213) cylinder_no=F,M,O 25   3 NOBAND (0.12000000 0.88000000) *
##             107) unit_number>=8 28   3 NOBAND (0.10714286 0.89285714) *
##          27) press_type=MOTTER70 30   2 NOBAND (0.06666667 0.93333333) *
##       7) press_speed>=2025 86   8 NOBAND (0.09302326 0.90697674) *

summary(model_cart)

## Call:
## rpart(formula = band_type ~ ., data = trainData, method = "class")
##   n= 364 
## 
##           CP nsplit rel error    xerror       xstd
## 1 0.13846154      0 1.0000000 1.0000000 0.07032108
## 2 0.04615385      1 0.8615385 1.0153846 0.07055648
## 3 0.03846154      2 0.8153846 1.0000000 0.07032108
## 4 0.03333333      5 0.7000000 0.9692308 0.06981998
## 5 0.02564103      8 0.6000000 0.9692308 0.06981998
## 6 0.02307692     11 0.5230769 0.9846154 0.07007562
## 7 0.01538462     12 0.5000000 0.9846154 0.07007562
## 8 0.01000000     13 0.4846154 1.0230769 0.07067044
## 
## Variable importance
##       cylinder_no       press_speed        press_type    blade_pressure 
##                17                11                 9                 8 
##             press       unit_number         viscosity          location 
##                 7                 6                 5                 5 
##    grain_screened     cylinder_size   ink_temperature       varnish_pct 
##                 4                 4                 4                 3 
##       solvent_pct           ink_pct  roller_durometer         proof_cut 
##                 3                 3                 2                 2 
##        paper_type               wax          humidity   current_density 
##                 2                 2                 1                 1 
## anode_space_ratio       ESA_voltage 
##                 1                 1 
## 
## Node number 1: 364 observations,    complexity param=0.1384615
##   predicted class=NOBAND  expected loss=0.3571429  P(node) =1
##     class counts:   130   234
##    probabilities: 0.357 0.643 
##   left son=2 (72 obs) right son=3 (292 obs)
##   Primary splits:
##       cylinder_no splits as  -LRRRLLRRRRRRLLRL, improve=12.879160, (0 missing)
##       press_speed < 2184.5   to the left,  improve=12.430400, (0 missing)
##       press       < 822.5    to the left,  improve=10.002240, (0 missing)
##       press_type  splits as  RRRL, improve= 9.130740, (0 missing)
##       ESA_voltage < 4.342399 to the left,  improve= 6.970213, (0 missing)
##   Surrogate splits:
##       anode_space_ratio < 114.295  to the right, agree=0.810, adj=0.042, (0 split)
##       ink_type          splits as  RLR,          agree=0.808, adj=0.028, (0 split)
##       ink_temperature   < 18.05    to the right, agree=0.808, adj=0.028, (0 split)
##       press_speed       < 950      to the left,  agree=0.808, adj=0.028, (0 split)
##       location          splits as  RLRRRR,       agree=0.805, adj=0.014, (0 split)
## 
## Node number 2: 72 observations,    complexity param=0.04615385
##   predicted class=BAND    expected loss=0.375  P(node) =0.1978022
##     class counts:    45    27
##    probabilities: 0.625 0.375 
##   left son=4 (62 obs) right son=5 (10 obs)
##   Primary splits:
##       blade_pressure < 36.5     to the left,  improve=4.195161, (0 missing)
##       press_type     splits as  R-LL,         improve=3.604945, (0 missing)
##       press          < 808.5    to the right, improve=3.604945, (0 missing)
##       wax            < 2.725    to the left,  improve=3.398461, (0 missing)
##       press_speed    < 2184.5   to the left,  improve=3.337302, (0 missing)
##   Surrogate splits:
##       press_type      splits as  R-LL,         agree=0.958, adj=0.7, (0 split)
##       press           < 808.5    to the right, agree=0.958, adj=0.7, (0 split)
##       current_density < 36.28098 to the right, agree=0.903, adj=0.3, (0 split)
##       proof_cut       < 55.25    to the left,  agree=0.875, adj=0.1, (0 split)
##       press_speed     < 1390     to the right, agree=0.875, adj=0.1, (0 split)
## 
## Node number 3: 292 observations,    complexity param=0.03846154
##   predicted class=NOBAND  expected loss=0.2910959  P(node) =0.8021978
##     class counts:    85   207
##    probabilities: 0.291 0.709 
##   left son=6 (206 obs) right son=7 (86 obs)
##   Primary splits:
##       press_speed    < 2025     to the left,  improve=9.565178, (0 missing)
##       grain_screened splits as  RL,           improve=9.540971, (0 missing)
##       ink_type       splits as  RLL,          improve=8.634293, (0 missing)
##       location       splits as  RRLRLL,       improve=7.538930, (0 missing)
##       viscosity      < 62.5     to the right, improve=6.656620, (0 missing)
##   Surrogate splits:
##       roller_durometer < 31       to the right, agree=0.798, adj=0.314, (0 split)
##       paper_type       splits as  R-L,          agree=0.781, adj=0.256, (0 split)
##       location         splits as  RLLLLL,       agree=0.777, adj=0.244, (0 split)
##       press            < 827.5    to the left,  agree=0.764, adj=0.198, (0 split)
##       solvent_pct      < 43.9     to the left,  agree=0.736, adj=0.105, (0 split)
## 
## Node number 4: 62 observations,    complexity param=0.03846154
##   predicted class=BAND    expected loss=0.3064516  P(node) =0.1703297
##     class counts:    43    19
##    probabilities: 0.694 0.306 
##   left son=8 (53 obs) right son=9 (9 obs)
##   Primary splits:
##       press_speed       < 2184.5   to the left,  improve=4.677690, (0 missing)
##       proof_cut         < 41       to the right, improve=3.650077, (0 missing)
##       anode_space_ratio < 103.1275 to the right, improve=2.397167, (0 missing)
##       humidity          < 78.5     to the left,  improve=2.265653, (0 missing)
##       ink_temperature   < 15.4     to the left,  improve=1.957765, (0 missing)
##   Surrogate splits:
##       cylinder_no splits as  -L---LL------RL-L, agree=0.871, adj=0.111, (0 split)
## 
## Node number 5: 10 observations
##   predicted class=NOBAND  expected loss=0.2  P(node) =0.02747253
##     class counts:     2     8
##    probabilities: 0.200 0.800 
## 
## Node number 6: 206 observations,    complexity param=0.03846154
##   predicted class=NOBAND  expected loss=0.3737864  P(node) =0.5659341
##     class counts:    77   129
##    probabilities: 0.374 0.626 
##   left son=12 (22 obs) right son=13 (184 obs)
##   Primary splits:
##       viscosity   < 62.5     to the right, improve=6.155273, (0 missing)
##       varnish_pct < 2.35     to the left,  improve=4.164934, (0 missing)
##       press_type  splits as  LRLL,         improve=3.882681, (0 missing)
##       humidity    < 69.5     to the right, improve=3.456155, (0 missing)
##       location    splits as  RRLRLL,       improve=3.426345, (0 missing)
## 
## Node number 7: 86 observations
##   predicted class=NOBAND  expected loss=0.09302326  P(node) =0.2362637
##     class counts:     8    78
##    probabilities: 0.093 0.907 
## 
## Node number 8: 53 observations
##   predicted class=BAND    expected loss=0.2264151  P(node) =0.1456044
##     class counts:    41    12
##    probabilities: 0.774 0.226 
## 
## Node number 9: 9 observations
##   predicted class=NOBAND  expected loss=0.2222222  P(node) =0.02472527
##     class counts:     2     7
##    probabilities: 0.222 0.778 
## 
## Node number 12: 22 observations,    complexity param=0.01538462
##   predicted class=BAND    expected loss=0.2727273  P(node) =0.06043956
##     class counts:    16     6
##    probabilities: 0.727 0.273 
##   left son=24 (12 obs) right son=25 (10 obs)
##   Primary splits:
##       grain_screened splits as  RL, improve=3.927273, (0 missing)
##       ink_type       splits as  RLL, improve=3.272727, (0 missing)
##       press          < 822.5    to the left,  improve=3.120130, (0 missing)
##       cylinder_no    splits as  ---RL---LLL-L--R-, improve=3.120130, (0 missing)
##       cylinder_size  splits as  LLR, improve=3.120130, (0 missing)
##   Surrogate splits:
##       press         < 822.5    to the left,  agree=0.909, adj=0.8, (0 split)
##       location      splits as  R-L--L, agree=0.909, adj=0.8, (0 split)
##       cylinder_no   splits as  ---RL---LRL-L--R-, agree=0.864, adj=0.7, (0 split)
##       press_type    splits as  LLRL, agree=0.864, adj=0.7, (0 split)
##       cylinder_size splits as  LLR, agree=0.818, adj=0.6, (0 split)
## 
## Node number 13: 184 observations,    complexity param=0.03333333
##   predicted class=NOBAND  expected loss=0.3315217  P(node) =0.5054945
##     class counts:    61   123
##    probabilities: 0.332 0.668 
##   left son=26 (154 obs) right son=27 (30 obs)
##   Primary splits:
##       press_type      splits as  LRLL, improve=5.028807, (0 missing)
##       press           < 814      to the right, improve=4.839294, (0 missing)
##       cylinder_no     splits as  --LLR--RRRLRL--L-, improve=4.563913, (0 missing)
##       ink_temperature < 14.65    to the left,  improve=3.554619, (0 missing)
##       varnish_pct     < 2.25     to the left,  improve=2.902264, (0 missing)
##   Surrogate splits:
##       unit_number      < 1.5      to the right, agree=0.891, adj=0.333, (0 split)
##       cylinder_no      splits as  --LLL--LLLLRL--L-, agree=0.848, adj=0.067, (0 split)
##       viscosity        < 38.5     to the right, agree=0.848, adj=0.067, (0 split)
##       roller_durometer < 55       to the left,  agree=0.848, adj=0.067, (0 split)
##       humidity         < 66.5     to the right, agree=0.842, adj=0.033, (0 split)
## 
## Node number 24: 12 observations
##   predicted class=BAND    expected loss=0  P(node) =0.03296703
##     class counts:    12     0
##    probabilities: 1.000 0.000 
## 
## Node number 25: 10 observations
##   predicted class=NOBAND  expected loss=0.4  P(node) =0.02747253
##     class counts:     4     6
##    probabilities: 0.400 0.600 
## 
## Node number 26: 154 observations,    complexity param=0.03333333
##   predicted class=NOBAND  expected loss=0.3831169  P(node) =0.4230769
##     class counts:    59    95
##    probabilities: 0.383 0.617 
##   left son=52 (50 obs) right son=53 (104 obs)
##   Primary splits:
##       ink_temperature < 14.65    to the left,  improve=4.632977, (0 missing)
##       ESA_voltage     < 2.75     to the left,  improve=2.863636, (0 missing)
##       viscosity       < 44.5     to the right, improve=2.745949, (0 missing)
##       location        splits as  RRLLLL,       improve=2.498659, (0 missing)
##       press           < 822.5    to the left,  improve=2.424315, (0 missing)
##   Surrogate splits:
##       cylinder_no       splits as  --RLR--RRRR-L--R-, agree=0.721, adj=0.14, (0 split)
##       anode_space_ratio < 97.635   to the left,  agree=0.714, adj=0.12, (0 split)
##       wax               < 0.85     to the left,  agree=0.695, adj=0.06, (0 split)
##       hardener          < 1.75     to the right, agree=0.695, adj=0.06, (0 split)
##       blade_pressure    < 19       to the left,  agree=0.688, adj=0.04, (0 split)
## 
## Node number 27: 30 observations
##   predicted class=NOBAND  expected loss=0.06666667  P(node) =0.08241758
##     class counts:     2    28
##    probabilities: 0.067 0.933 
## 
## Node number 52: 50 observations,    complexity param=0.03333333
##   predicted class=BAND    expected loss=0.44  P(node) =0.1373626
##     class counts:    28    22
##    probabilities: 0.560 0.440 
##   left son=104 (29 obs) right son=105 (21 obs)
##   Primary splits:
##       unit_number    < 4.5      to the right, improve=3.720460, (0 missing)
##       cylinder_no    splits as  ---RL--RRRL-R--L-, improve=3.159231, (0 missing)
##       varnish_pct    < 1.1      to the left,  improve=2.468571, (0 missing)
##       wax            < 2.45     to the left,  improve=1.981270, (0 missing)
##       blade_pressure < 22.5     to the right, improve=1.610588, (0 missing)
##   Surrogate splits:
##       humidity       < 74.5     to the left,  agree=0.72, adj=0.333, (0 split)
##       cylinder_no    splits as  ---LL--RRRL-L--L-, agree=0.70, adj=0.286, (0 split)
##       grain_screened splits as  RL, agree=0.66, adj=0.190, (0 split)
##       location       splits as  RRLLLL, agree=0.66, adj=0.190, (0 split)
##       ESA_voltage    < 0.5      to the right, agree=0.66, adj=0.190, (0 split)
## 
## Node number 53: 104 observations,    complexity param=0.02564103
##   predicted class=NOBAND  expected loss=0.2980769  P(node) =0.2857143
##     class counts:    31    73
##    probabilities: 0.298 0.702 
##   left son=106 (76 obs) right son=107 (28 obs)
##   Primary splits:
##       unit_number < 8        to the left,  improve=2.793667, (0 missing)
##       press_type  splits as  R-LL, improve=2.326533, (0 missing)
##       press       < 808.5    to the right, improve=2.326533, (0 missing)
##       viscosity   < 48.5     to the right, improve=2.179945, (0 missing)
##       cylinder_no splits as  --LRR--LRRL-L--L-, improve=2.121893, (0 missing)
##   Surrogate splits:
##       location    splits as  RLLRLL, agree=0.779, adj=0.179, (0 split)
##       roughness   < 0.34375  to the right, agree=0.750, adj=0.071, (0 split)
##       hardener    < 1.45     to the left,  agree=0.750, adj=0.071, (0 split)
##       cylinder_no splits as  --LLL--RLLL-L--L-, agree=0.740, adj=0.036, (0 split)
##       press       < 827.5    to the left,  agree=0.740, adj=0.036, (0 split)
## 
## Node number 104: 29 observations
##   predicted class=BAND    expected loss=0.2758621  P(node) =0.07967033
##     class counts:    21     8
##    probabilities: 0.724 0.276 
## 
## Node number 105: 21 observations,    complexity param=0.02307692
##   predicted class=NOBAND  expected loss=0.3333333  P(node) =0.05769231
##     class counts:     7    14
##    probabilities: 0.333 0.667 
##   left son=210 (7 obs) right son=211 (14 obs)
##   Primary splits:
##       varnish_pct    < 2.8      to the left,  improve=3.047619, (0 missing)
##       blade_pressure < 29       to the right, improve=2.078788, (0 missing)
##       cylinder_no    splits as  ---LL--RLR--R--R-, improve=1.555556, (0 missing)
##       proof_cut      < 46.25    to the right, improve=1.555556, (0 missing)
##       ink_pct        < 55.25    to the right, improve=1.555556, (0 missing)
##   Surrogate splits:
##       ink_pct     < 55.25    to the right, agree=0.905, adj=0.714, (0 split)
##       cylinder_no splits as  ---RL--RRR--R--R-, agree=0.810, adj=0.429, (0 split)
##       solvent_pct < 40.9     to the right, agree=0.810, adj=0.429, (0 split)
##       proof_cut   < 60       to the right, agree=0.762, adj=0.286, (0 split)
##       viscosity   < 55.5     to the right, agree=0.762, adj=0.286, (0 split)
## 
## Node number 106: 76 observations,    complexity param=0.02564103
##   predicted class=NOBAND  expected loss=0.3684211  P(node) =0.2087912
##     class counts:    28    48
##    probabilities: 0.368 0.632 
##   left son=212 (51 obs) right son=213 (25 obs)
##   Primary splits:
##       cylinder_no    splits as  --LLR--LRRL-L--L-, improve=4.598225, (0 missing)
##       press_type     splits as  R-LL, improve=4.197933, (0 missing)
##       press          < 808.5    to the right, improve=4.197933, (0 missing)
##       blade_pressure < 42.5     to the left,  improve=3.403394, (0 missing)
##       wax            < 2.95     to the left,  improve=2.952837, (0 missing)
##   Surrogate splits:
##       cylinder_size  splits as  RLL,          agree=0.882, adj=0.64, (0 split)
##       press_type     splits as  R-LL,         agree=0.842, adj=0.52, (0 split)
##       press          < 808.5    to the right, agree=0.842, adj=0.52, (0 split)
##       blade_pressure < 31       to the left,  agree=0.842, adj=0.52, (0 split)
##       wax            < 2.95     to the left,  agree=0.816, adj=0.44, (0 split)
## 
## Node number 107: 28 observations
##   predicted class=NOBAND  expected loss=0.1071429  P(node) =0.07692308
##     class counts:     3    25
##    probabilities: 0.107 0.893 
## 
## Node number 210: 7 observations
##   predicted class=BAND    expected loss=0.2857143  P(node) =0.01923077
##     class counts:     5     2
##    probabilities: 0.714 0.286 
## 
## Node number 211: 14 observations
##   predicted class=NOBAND  expected loss=0.1428571  P(node) =0.03846154
##     class counts:     2    12
##    probabilities: 0.143 0.857 
## 
## Node number 212: 51 observations,    complexity param=0.02564103
##   predicted class=NOBAND  expected loss=0.4901961  P(node) =0.1401099
##     class counts:    25    26
##    probabilities: 0.490 0.510 
##   left son=424 (26 obs) right son=425 (25 obs)
##   Primary splits:
##       blade_pressure  < 25.5     to the right, improve=4.333273, (0 missing)
##       ink_temperature < 16.3     to the right, improve=3.695324, (0 missing)
##       viscosity       < 48.5     to the right, improve=2.893923, (0 missing)
##       humidity        < 70.5     to the right, improve=1.569561, (0 missing)
##       solvent_pct     < 35.95    to the left,  improve=1.323529, (0 missing)
##   Surrogate splits:
##       proof_cut      < 53.75    to the left,  agree=0.686, adj=0.36, (0 split)
##       varnish_pct    < 3.25     to the left,  agree=0.686, adj=0.36, (0 split)
##       ink_pct        < 56.75    to the right, agree=0.667, adj=0.32, (0 split)
##       solvent_pct    < 37.05    to the right, agree=0.667, adj=0.32, (0 split)
##       grain_screened splits as  LR,           agree=0.627, adj=0.24, (0 split)
## 
## Node number 213: 25 observations
##   predicted class=NOBAND  expected loss=0.12  P(node) =0.06868132
##     class counts:     3    22
##    probabilities: 0.120 0.880 
## 
## Node number 424: 26 observations
##   predicted class=BAND    expected loss=0.3076923  P(node) =0.07142857
##     class counts:    18     8
##    probabilities: 0.692 0.308 
## 
## Node number 425: 25 observations
##   predicted class=NOBAND  expected loss=0.28  P(node) =0.06868132
##     class counts:     7    18
##    probabilities: 0.280 0.720

# pruning
par(pty = "s")
with(model_cart, plot(cptable[, 3], xlab = "Tree Number", ylab = "Resubstitution Error (R)", 
    type = "b"))

# Plot the trees
rpart.plot(model_cart, box.palette = "RdBu", nn = FALSE)

printcp(model_cart)

## 
## Classification tree:
## rpart(formula = band_type ~ ., data = trainData, method = "class")
## 
## Variables actually used in tree construction:
## [1] blade_pressure  cylinder_no     grain_screened  ink_temperature
## [5] press_speed     press_type      unit_number     varnish_pct    
## [9] viscosity      
## 
## Root node error: 130/364 = 0.35714
## 
## n= 364 
## 
##         CP nsplit rel error  xerror     xstd
## 1 0.138462      0   1.00000 1.00000 0.070321
## 2 0.046154      1   0.86154 1.01538 0.070556
## 3 0.038462      2   0.81538 1.00000 0.070321
## 4 0.033333      5   0.70000 0.96923 0.069820
## 5 0.025641      8   0.60000 0.96923 0.069820
## 6 0.023077     11   0.52308 0.98462 0.070076
## 7 0.015385     12   0.50000 0.98462 0.070076
## 8 0.010000     13   0.48462 1.02308 0.070670

#pruning
cart_prune <- prune(model_cart, cp = 0.01)



cart.pred<-predict(model_cart, testData, type="class")
cart.pred

##     10     16     27     36     37     42     48     51     60     65 
##   BAND NOBAND NOBAND NOBAND   BAND NOBAND   BAND NOBAND NOBAND   BAND 
##     67     71     72     73     76     80     85     87     90     92 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND   BAND   BAND NOBAND 
##     99    102    106    111    113    130    133    139    144    152 
##   BAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    155    158    169    172    177    179    185    186    190    202 
## NOBAND NOBAND   BAND   BAND   BAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    203    207    210    214    223    225    226    234    237    239 
## NOBAND NOBAND   BAND NOBAND NOBAND NOBAND   BAND NOBAND NOBAND NOBAND 
##    242    243    244    246    248    253    255    256    265    270 
##   BAND   BAND NOBAND NOBAND NOBAND   BAND   BAND   BAND NOBAND NOBAND 
##    272    276    281    282    283    287    289    290    291    293 
## NOBAND   BAND NOBAND NOBAND NOBAND   BAND   BAND NOBAND   BAND NOBAND 
##    299    304    309    315    319    320    322    326    331    335 
## NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND NOBAND 
##    340    344    345    352    358    359    361    364    369    372 
##   BAND   BAND   BAND   BAND   BAND   BAND   BAND NOBAND NOBAND   BAND 
##    380    383    385    387    391    392    396    399    400    403 
## NOBAND   BAND   BAND   BAND   BAND NOBAND   BAND   BAND   BAND NOBAND 
##    409    412    413    414    416    419    424    426    428    431 
##   BAND   BAND   BAND   BAND NOBAND NOBAND NOBAND   BAND   BAND NOBAND 
##    437    446    449    450    451    452    459    467    473    480 
## NOBAND NOBAND   BAND NOBAND NOBAND   BAND NOBAND   BAND   BAND NOBAND 
##    484 
##   BAND 
## Levels: BAND NOBAND

table(true=testData$band_type, pred = cart.pred)

##         pred
## true     BAND NOBAND
##   BAND     24     19
##   NOBAND   24     54

CrossTable(x=testData$band_type, y=cart.pred, prop.chisq=FALSE)

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  121 
## 
##  
##                    | cart.pred 
## testData$band_type |      BAND |    NOBAND | Row Total | 
## -------------------|-----------|-----------|-----------|
##               BAND |        24 |        19 |        43 | 
##                    |     0.558 |     0.442 |     0.355 | 
##                    |     0.500 |     0.260 |           | 
##                    |     0.198 |     0.157 |           | 
## -------------------|-----------|-----------|-----------|
##             NOBAND |        24 |        54 |        78 | 
##                    |     0.308 |     0.692 |     0.645 | 
##                    |     0.500 |     0.740 |           | 
##                    |     0.198 |     0.446 |           | 
## -------------------|-----------|-----------|-----------|
##       Column Total |        48 |        73 |       121 | 
##                    |     0.397 |     0.603 |           | 
## -------------------|-----------|-----------|-----------|
## 
##

confusionMatrix(cart.pred, testData$band_type, positive = 'NOBAND')

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction BAND NOBAND
##     BAND     24     24
##     NOBAND   19     54
##                                           
##                Accuracy : 0.6446          
##                  95% CI : (0.5525, 0.7295)
##     No Information Rate : 0.6446          
##     P-Value [Acc > NIR] : 0.5414          
##                                           
##                   Kappa : 0.2441          
##                                           
##  Mcnemar's Test P-Value : 0.5419          
##                                           
##             Sensitivity : 0.6923          
##             Specificity : 0.5581          
##          Pos Pred Value : 0.7397          
##          Neg Pred Value : 0.5000          
##              Prevalence : 0.6446          
##          Detection Rate : 0.4463          
##    Detection Prevalence : 0.6033          
##       Balanced Accuracy : 0.6252          
##                                           
##        'Positive' Class : NOBAND          
##

predict_cart <- predict(model_cart, newdata = testData)

Linear Discriminant Analysis

explain how it works
fit the model
results

# # linear discriminant analysis
# 
# trainDataLda <- trainData[, -c(18)]
# testDataLda <- testData[, -18]
# 
# # Estimate preprocessing parameters
# preproc.param <- trainDataLda %>% 
#   preProcess(method = c("center", "scale"))
# # Transform the data using the estimated parameters
# train.transformed <- preproc.param %>% predict(trainDataLda)
# test.transformed <- preproc.param %>% predict(testDataLda)
# 
# 
# 
# library(MASS)
# # Fit the model
# model_lda <- lda(band_type ~., data = train.transformed)
# # Make predictions
# predictions <- model_lda %>% predict(test.transformed)
# # Model accuracy
# mean(predictions$class==test.transformed$band_type)
# 
# model_lda
# plot(model_lda)

# lda.data <- cbind(train.transformed, predict(model_lda)$x)
# ggplot(lda.data, aes(LD1, LD2)) +
#   geom_point(aes(color = band_type))

Report: Data Analytics for Decision Making

Claudio Previte and Ana -Maria Casian

19 décembre, 2019